Detection of Pulsed Radar in a Time Division Duplexed System

Size: px
Start display at page:

Download "Detection of Pulsed Radar in a Time Division Duplexed System"

Transcription

1 Deecio of Pulsed Radar i a Time Divisio Duplexed Sysem Brad W. Zarikoff Hamilo Isiue Naioal Uiversiy of Irelad Mayooh Brad.Zarikoff@uim.ie David Weldo Wireless R&D, Vecima Neworks, Ic. Vicoria, BC, Caada V8Z 3B8 David.Weldo@Vecima.com Absrac Dyamic Frequecy Selecio (DFS) is he echology chose by ETSI, FCC, ad Idusry Caada o provide ulicesed access for broadbad radios i licesed bads. I is implemeed by he basesaio or basesaio/subscriber combiaio. I a ime-divisio duplexed (TDD) sysem wih DFS implemeed solely a he basesaio, a periodic quie ime is eforced. This work deermies he likelihood ha a radar pulse rai ca be deeced i a TDD sysem wih radar deecio resriced o he basesaio. The resuls are ailored for TDD sysems such as WiMAX, ad ca be used by desigers o deermie uder wha sysem cosrais DFS ca be implemeed i heir sysems. I. INTRODUCTION Recely, he Federal Commuicaios Commissio (FCC) has opeed he 525 o 535 MHz ad 547 o 5725 MHz bads o ulicesed broadbad wireless use; i Europe, he 547 o 5725 MHz Europea Telecommuicaios Sadards Isiue (ETSI) bad is similarly used. As hese bads are radiioally used for radar purposes (primarily for weaher ad miliary uses), he FCC ad ETSI has imposed cerai resricios for ulicesed broadbad wireless use [], [2], ad refer o hese resricios as dyamic frequecy selecio (DFS). Esseially, hese resricios require he ulicesed commuicaios equipme o sped ime sesig he acive chael for radar presece, before a sessio is esablished ad durig he sessio; his period is referred o as he Chael Availabiliy Check Time ad is 6 secods i duraio (FCC ad ETSI). Durig he commuicaios sessio, he BS mus coiuously look for radar pulses. I he case ha a radar burs is deeced, he basesaio (BS) mus orgaize he commuicaios sessio o be relocaed o aoher chael. The Chael Closig Trasmissio Time is he period allocaed durig which all rasmissios mus cease (2 millisecods for FCC ad secod for ETSI). The Chael Move Time is he period allocaed durig which he commuicaios sessio mus be re-esablished i aoher chael, ad is secods i duraio (FCC ad ETSI). Afer he BS has vacaed he chael, he chael mus be lef vaca for a specific ime period; his period is referred o as he No-Occupacy Period, ad is 3 miues i duraio. This work was doe a Vecima Neworks ad is suppored by Sciece Foudaio Irelad uder Gra No. 8/SRC/I43. Submied o he 2 IEEE 73 rd Vehicular Techology Coferece (VTC-2 Sprig). I a ime-divisio duplexed (TDD) sysem, radar deecio is ypically doe wih sampled daa from he RF receive chai. However, oe of he mai caveas i formulaig a DFS sysem for a TDM/TDMA scheme such as WiMAX is ha he receive chai mus be mued durig rasmissio. This cao be avoided by usig a secodary receive chai, sice he rasmier will sill drow ou ay sigal io he secodary receiver. Hece, he DFS sysem mus accou for his ihere quie ime. A he mome, his ca oly be doe by judicious selecio of he raio bewee he uplik ad dowlik (receive ad rasmi a he BS). Sice he receive mue duraio is deermiisic, bu he radar pulse rai (referred o as a radar burs) arrival ime is radom, i is possible o deermie he saisical overlap of a specific radar burs ad he receive frame of he WiMAX sysem. This provides he focus of his paper: deermiig he probabiliy of a radar pulse ladig wihi he receive porio of a WiMAX frame. We chose he sample radar ypes give i he FCC es procedure [3] o provide examples. Surprisigly, he curre lieraure is sile o aalysis of radar deecio probabiliies. Calculaio of radar deecio probabiliies used i he FCC ad ETSI sadards would have required simulaios a he miimum. Lieraure o DFS for radar appears resriced o deecio algorihms [4] ad policy review [5]. Sice he es radar waveforms as specified by he FCC ad ETSI are se i pulse rais, hey iherely provide a meas o avoid false posiives due o radom ierferece. A iellige algorihm ha akes he pulse widhs ad spacig afer iiial pulse ideificaio is ecessary o deermie wheher a radar pulse is prese or o. For his work, we assume ha a umber of cosecuive radar pulses mus be ideified i order for he algorihm o be successful, ad hus we mus fid he probabiliy of a umber of cosecuive pulses ladig wihi he receive porio of he WiMAX frame. II. BACKGROUND To make beer use of he limied RF specrum, goverme specrum sharig i he form of dyamic frequecy selecio (DFS) sared i 24 [5]. The basic premise of DFS is o allow privae users access o he uder-uilized radar bads i he 5 GHz rage. Because of he demad ha goverme users place o he probabiliy of radar deecio, he privae

2 W() α τ r() T R TT T T T P = = T Fig.. Sigal Model Fig. 2. Sceario for Case : T P < T T users access o hese bads are subjec o hem implemeig quie sric cogiive-radio-based sharig echiques. Sice he DFS sadards were iroduced, sudies have show he effeciveess of co-exisece of radar ad widebad commuicaio sigals [6]. I [6], DFS was esed usig a IEEE 82.a RLAN sysem operaig i he viciiy of a Doppler weaher radar sysem. The coclusio was ha he RLAN iroduced addiive, ucorrelaed oise, from he radars perspecive. The auhors oe ha he DFS would deec he radar sooer ha he RLAN would corrup he radar. As meioed i he iroducio, a TDD sysem ha implemes DFS will experiece some mued periods durig which he receiver is ured off. This work focuses o deermiig he probabiliy ha a porio of a radar burs will arrive a a BS durig he period whe i is i receive mode, ad hus he probabiliy ha specific radar ypes ca be deeced i TDD mode. A. Sysem Model Our model cosiss of wo sigals: ha of he periodic rasmi/receive modes of he BS ad ha of he arrivig radar pulse. Power levels are o cosidered. Fig. demosraes a sample composie waveform, where a sigle sample es radar waveform cosisig of fory pulses overlaps hree cosecuive receive frames. Each TDD frame is of duraio T. O ay give frame, he firs T T secods is for rasmi, while he remaiig T R = T T T is for receive, durig which radar deecio is possible. We use a coiuous-ime samplig fucio, W(), o deoe he receive widow of he TDD radio; durig he receive porio of a frame, W() =, oherwise, W() =. The radar burs arrival ime is α [,T], wih he radar waveform iself deoed r(). The radar burss cosis of N pulses, each separaed by τ secods, where τ is he PRI. The oal duraio of he radar pulse rai is he T P = (N )τ. The variable P is he umber of pulses ha lad i W(). B. Assumpios A umber of assumpios ad defiiios are used o simplify he followig aalysis. For he radar burs, he pulses cosidered are ake from he FCC ad ETSI sadards, ad ca vary i duraio from µs o 2 µs. To simplify he mah, his aalysis assumes ha hey are ui impulses. Jusificaio for his ca be made by examiig he raio of he pulse repeiio ierval (PRI) o he pulse widh, which varies from abou o 428; his relaes o a duy cycle of % o.7%. We also assume ha for a sigle radar burs arrivig i he curre ierval [,T], he arrival ime α is uiformly disribued, ad ha he PRI τ lies i [τ mi,τ max ] ad is also uiformly disribued. These assumpios are cosidered valid give ha we oly cosider a sigle radar burs. I real sysems, here may be subseque burss, bu his case is o cosidered i his work. III. PULSE DETECTION Our goal is o fid he probabiliy ha radar pulses of a give radar ype lad durig he receive porio of a TDD frame (while W() has a value of ). The sysem desiger ca use hese echiques o specific limis o he receive-orasmi raio of he radio sysem ad deermie he maximum umber of pulses he radar deecio algorihm should search for [4]. Firs, we will aemp some aalysis o wo special cases: Case, where he radar pulse rai is less ha T T ad herefore will oly effec a sigle frame, ad Case 2, if he radar pulse rai is greaer ha T + T R, ad herefore will effec a leas wo frames. I boh cases, we will cosider oly a sigle frame, so he domai of W() is resriced o [,T]. The, o accommodae for a greaer variey of radar ypes, a more deailed simulaio model will be devised ad used for compariso. As a maer of oaioal coveiece, he probabiliies Pr(P = N) are codiioed o he oal duraio of he icomig radar burs T P. I his work, he radar ypes are o cosidered as radom variables, ad hus he codiioal saemes do o porray ay sochasic depedece. A. Case : T P < T T Case iself ca be divided up io wo scearios: if he eire radar pulse lads wihi W(), ad if less ha N pulses lad wihi W(). As meioed i Secio II-B, we assume ha α is uiformly disribued ad ha he pulses are impulse fucios. This meas ha, give ha α is disribued from [,T], he probabiliy of α beig wihi W() (or (T T α T)) is (T T T )/T or T R /T. I is possible ha o all radar pulses will fi wihi W(). The maximum umber of pulses ha ca lad i W() ca be foud as he raio bewee T R ad τ o be X P = T R /τ () If X P N, Pr(P = N T P < T T ) is o-zero, where N is he umber of pulses i r() ad P is he umber of pulses ladig i W(). Usig he above resul for he probabiliy of α ladig i W(), we ca fid he probabiliy ha all N radar pulses lad wihi W() whe T P < T R o be Pr(P = N T P < T T ) = (T R T P )/T (3) = T P /T,

3 Pr(P X P T P > T +T R ) = Pr(P = X P T P > T +T R ) = T Rlog(τ max τ mi ) τ max τ mi X P + Pr(P > X P T P > T +T R ) =. (2) ad oherwise. The receive o full frame raio is defied as = T R /T. We ca see ha if T P T, he his probabiliy reduces o, while if T P > T R, he he probabiliy goes o zero. If X P < N, we mus sar wih fidig he probabiliy ha P = X P. This probabiliy is depede o he umber of pulses ha will o fall i W() whe P = X P, which is N X P. To calculae Pr(P = X P T P < T T ), defie a excess ime ɛ which is he slack i he burs arrival ime durig which P = X P as ɛ = T R (X P )τ. (4) Normalizig ɛ by T gives he probabiliy of P = X P for a sigle se of pulses (i.e. he firsx P pulses). The, cosiderig ha here are N X P pulses ha do o fall i W(), he probabiliy ha P = X P for all combiaios is Pr(P = X P T P < T T ) = (N X P +)ɛ/t (5) The probabiliy ha P < X P mus be foud boh for whe he las pulses lie wihi he sar of W() ad whe he firs pulses lie wihi he ed of W(). Also, sice he pulses are evely disribued wihi a sigle pulse rai, he probabiliy of oe pulse ladig i W() is he same as wo pulses ladig i W(), ad so o. The we ca work ou P < X P o be Pr(P = p p < X P,T P < T T ) = (6) Pr(T T τ α T T )+ Pr(T T P +τ α T T P +2τ) = 2τ/T. By summig over he probabiliies, we ca break he probabiliy of or more pulses ladig i W() io wo expressios: codiioed o X P N ad X P < N, so we ge Pr(P X P N,T P < T T ) = (7) Pr(P = N T P < T T )+ N i= Pr(P = i T P < T T ), Pr(P X P < N,T P < T T ) = (8) Pr(P = X P T P < T T )+ N i= Pr(P = i T P < T T ). Fig. 3. T +T R T P Sceario for Case 2: T P > T +T R To iclude he radom aure of he PRI τ ad he umber of pulses N [3], we ake he expecaio of (7) ad (8) wih respec o τ ad N. Doig so, we ge Pr(P X P N,T P < T T ) = (9) ( N ) τ/t +2(N )τ/t, Pr(P X P < N,T P < T T ) = () ( N XP + ) ɛ/t +2(N )τ/t, where τ = E[τ] ad N = E[N]. B. Case 2: T P > T +T R I his Case, oe receive frame i W() is guaraeed o compleely overlap wih he radar burs (X P < N). Also, as log as τ < T R, a leas oe pulse of he pulse rai is guaraeed o lad. The probabiliy of P = X P ca be calculaed by usig he fac ha he pulses are equi-spaced ad iiially lad wih uiform probabiliy, so Pr(P = X P T P > T +T R ) = T R /τ T R /τ () = T R /τ (X P ), which is he raio remaiig afer removig he X P pulses ha are guaraeed o lad i W(). The reaso ha Case ad Case 2 are o equal whe P = X P is because i Case, he domai ha α ca occupy i order for P = X P is α [T T P,T T ], while he domai for Case 2 is α [,T]. The probabiliy ha P > X P pulses lad i W() is zero because of he equal spaced pulses, ad he probabiliy ha P = X P is Pr(P = X P T P > T +T R ), o accou ha eiher X P or X P pulses are guaraeed o lad i W() i a frame. Afer akig he expecaio wih respec o τ, he codiioal probabiliies are provided for T P > T +T R i (2). C. Simulaio Model Sice he radar ypes defied i [2] ad [3] have radom compoes ad will usually o fi io eiher of he Case or Case 2 caegories, a more deailed model is creaed. Usig he radom radar burs arrival ime α ad he radom PRI τ

4 Pr(P ).4.2 =.5 ANA =.7 ANA Pr(P ).4.2 =.5 ANA =.7 ANA Fig. 4. Probabiliy of FCC ype 2 pulses ladig i W() Fig. 5. Probabiliy of FCC ype 3 pulses ladig i W() as show i Fig., we ca represe he full radar pulse rai r() as he sum of Dirac dela fucios r() = N = ( ) δ ( )τ α (2) To deermie he umber of pulses ha lad i W(), he iegral of W()r() ca be ake as P (α,τ) = T T T W ()r()d (3) Noe ha if T P > T T, he some pulses may lad i subseque receive frames. This case is o cosidered i he aalysis of he Case ad Case 2, ad hus we ca expec he simulaed resuls usig (3) o be more accurae (i.e. more pulses may be capured i subseque frames). IV. RESULTS AND SIMULATIONS We cosider he es radar pulses described i [3], specifically Radar Types, 2, 3, 4 ad 6. FCC Radar Type 5 is o cosidered as i is a chirp pulse, ad herefore sigificaly differe i srucure ha he ohers. For Radar Type 6, we cosider oly a sigle burs of ie pulses. The parameers of hese es pulses are give i Table I, icludig he required deecio probabiliy rae (De. Prob.) i he FCC specificaio [3]. Noe ha for Radar Types hrough 4, he aggregae deecio probabiliy is show; he miimum probabiliy is 6%. For calculaio of (3), he oal legh of he burs is cosidered, ad ay pulses ha lad i subseque frames are icluded i he resuls. This resul is compared o he aalyical resuls of Case (for Radar Types 2, 3, 4, ad 6) ad of Case 2 (for Radar Type ). The simulaio resuls are show afer Moe Carlo simulaio over N usig 4 samples, wih N, α ad τ beig uiformly disribued. Pr(P ).4.2 Fig. 6. =.5 ANA =.7 ANA Probabiliy of FCC ype 4 pulses ladig i W() Moe Carlo simulaio usig (3) is used o geerae values for Pr(P ), usig 4 samples. Fig. 4, 5, 6, ad 7 show Pr(P ) (refereced wih SIM) ad Pr(P T P < T T ) (refereced wih ANA) for each of he es pulses. Curves for =.3,.5, ad.7 are show, wiht = ms. Obviously, as icreases, he probabiliy of seeig a pulse icreases, as he mued porio of he frame is shoreed. However, by reducig, he proporio of uplik o dowlik raffic is reduced, wih ramificaios for load balacig. I may be argued ha a miimum of hree pulses are required o ideify a radar burs; ay less may be oise. A horough aalysis ivolvig SNR ad hreshold values is required o verify his rule of humb, bu laboraory experi-

5 Pr(P ) Pr(P ).4.2 =.5 ANA =.7 ANA Fig. 7. Fig. 8. Probabiliy of FCC ype 6 pulses ladig i W() =.5 ANA =.7 ANA Probabiliy of FCC ype pulses ladig i W() mes provide evidece of his, ad so we will use his value i he followig example. For =.5, Pr(P = 3) is approximaely 9% for Radar Type 2. Similarly, Pr(P = 3) is approximaely 9% for Radar Type 3 ad 8% for Radar ype 4. Due o he shor burs duraio of Radar Type 6, here is oly a 65% probabiliy ha hree pulses will lad i W(). Noe ha for Radar Type 3 ad 4, if =.7, Pr(P = 3) is %. This resuls from a combiaio of a large T P ad T R. The aalyical resuls follow he simulaio resuls closely. As expeced, he geeral red is for he aalyical resuls o show a lower probabiliy of pulse deecio, give ha subseque frames are o cosidered. However, sice our aalysis icludes a average over N ad τ, here is some variaio, paricularly whe he probabiliy of deecig greaer ha pulses is low. For Case 2, Radar Type is evaluaed. Due o he large PRI TABLE I FCC TEST PULSE PARAMETERS Tes Pulse Pulse Widh (µs) τ (µs) N De. Prob % % % % % of Radar Type, here is o way ha more ha four pulses ca be deeced wihi a sigle 5 ms receive frame. Subseque receive frames ca be used o help i radar pulse ideificaio, or, a lower umber of pulses ca be used. However, he odds are good ha a small umber of pulses will be see: here is a % chace ha hree pulses will lad i a receive frame for T R = 5 ms. V. CONCLUSIONS Due o he geeral aure of ime divisio duplexed (TDD) sysems, implemeaio of dyamic frequecy selecio (DFS) echiques will eed o deal wih periodic dow ime whe he local rasmier is acive. However, radar pulses may sill be arrivig durig hese dow imes. This paper provides a aalysis o he probabiliy of wheher a radar pulse rai ca be deeced i he case of TDD sysems. Usig he example radar pulse rais specified by he FCC for he 5 GHz U-NII bads, simplified expressios for pulse observaios are provided. The aalysis ad simulaios provide he sysem desiger wih ools o decide which specific rasmi o receive raios are compaible wih he DFS limis specified by he FCC ad ETSI. Fuure work will iclude fidig opimal values for rasmi ad receive raios. Sice he rasmi ime is resriced by DFS i TDD sysems, he cocep of furher ierleavig he rasmi ad receive widows will also be cosidered. REFERENCES [] FCC, Tile 47 CFR, Par 5 Subpar E, Federal Commuicaios Commissio, 28. [2] ETSI, ETSI EN 3 893, Europea Telecommuicaios Sadards Isiue, 28. [3] FCC, Appedix: Compliace measureme procedures for Ulicesed- Naioal Iformaio Ifrasrucure devices operaig i he MHz ad MHz bads icorporaig Dyamic Frequecy Selecio, Federal Commuicaios Commissio, 26. [4] M. We ad L. Hawe, Radar deecio for 82.a sysems i 5 GHz bad, i IEEE I. Cof. o Wireless Commu., Neworkig ad Mobile Compuig, 25, pp [5] M. J. Marcus, Sharig goverme specrum wih privae users: opporuiies ad challeges, IEEE Wireless Commu., vol. 6, o. 3, pp. 4 5, 29. [6] A. L. Bradao, J. Sydor, ad W. Bre, 5 GHz RLAN ierferece o acive meeorological radars, i IEEE 6s Veh. Tech. Cof., 25, pp

Introduction to Orthogonal Frequency Division Multiplexing (OFDM)

Introduction to Orthogonal Frequency Division Multiplexing (OFDM) Wireless Iformaio Trasmissio Sysem Lab. Iroducio o Orhogoal Frequecy Divisio Muliplexig OFDM Isiue of Commuicaios Egieerig aioal Su Ya-se Uiversiy OFDM Overview OFDM Sysem Model Orhogoaliy Oulie Muli-carrier

More information

Introduction to Orthogonal Frequency Division Multiplexing (OFDM) Technique

Introduction to Orthogonal Frequency Division Multiplexing (OFDM) Technique Wireless Iformaio Trasmissio Sysem Lab. Iroducio o Orhogoal Frequecy Divisio Muliplexig (OFDM Techique Isiue of Commuicaios Egieerig Naioal Su Ya-se Uiversiy OFDM Overview OFDM Sysem Model Orhogoaliy Oulie

More information

Introduction to OFDM Systems

Introduction to OFDM Systems Wireless Iformaio Trasmissio Sysem Lab. Iroducio o OFDM Sysems Isiue of Commuicaios Egieerig Naioal Su Ya-se Uiversiy Oulie OFDM Overview OFDM Sysem Model Orhogoaliy Muli-carrier Equivale Implemeaio by

More information

Handout 10: Pulse-Code Modulation

Handout 10: Pulse-Code Modulation ENGG 31-B: Priciples of Commuicaio Sysems Hadou 1: Pulse-Code Modulaio 17 18 Firs Term Isrucor: Wig-Ki Ma November 1, 17 Suggesed Readig: Chaper 7 of Simo Hayki ad Michael Moher, Commuicaio Sysems (5h

More information

An Optimization of Gaussian UWB Pulses

An Optimization of Gaussian UWB Pulses 0 h Ieraioal Coferece o DEVELOPMENT AND APPLICATION SYSTEMS, Suceava, Romaia, May 7-9, 00 A Opimizaio of Gaussia UWB Pulses Adria POPA "Gheorghe Asachi" Techical Uiversiy of Iaşi Bd.Carol No., RO0.506

More information

Walsh Function Based Reconstruction Method of. Command Waveform in PWM Inverter

Walsh Function Based Reconstruction Method of. Command Waveform in PWM Inverter Walsh Fucio Based Recosrucio Mehod of Commad Waveform i PWM Iverer Kri Choeisai ad Seiji Kodo Nagaoka Uiversiy of echology 63- Kamiomioka, Nagaoka 94-288, Japa Fa: +8-28-4-9, Phoe: +8-28-4-9 E-Mail: kri@s.agaokau.ac.jp

More information

Power-Efficient Radio Resource Allocation for Low- Medium-Altitude Aerial Platform Based TD-LTE Networks

Power-Efficient Radio Resource Allocation for Low- Medium-Altitude Aerial Platform Based TD-LTE Networks ower-efficie Radio Resource Allocaio for Low- Medium-Aliude Aerial laform Based TD-LTE eworks Liqiag Zhao, 2, Chi Zhag, Haili Zhag ad Xiaohui Li. Sae Key Laboraory of Iegraed Service eworks, Xidia Uiversiy,

More information

Bézier curves with shape parameter *

Bézier curves with shape parameter * Wag e al. / J Zhejiag Uiv SCI 5 6A(6):497-5 497 Joural of Zhejiag Uiversiy SCIENCE ISSN 9-395 hp://www.zju.edu.c/jzus E-mail: jzus@zju.edu.c Bézier curves wih shape parameer * WANG We-ao ( 王文涛 ) WANG Guo-zhao

More information

ITERATIVE RECEIVER FOR SPACE-TIME CODED FLAT FADING CHANNELS. Noura Sellami yz, Mohamed Siala y, David Declercq z, Inbar Fijalkow z

ITERATIVE RECEIVER FOR SPACE-TIME CODED FLAT FADING CHANNELS. Noura Sellami yz, Mohamed Siala y, David Declercq z, Inbar Fijalkow z ITERATIVE RECEIVER FOR SPACE-TIME CODED FLAT FADING CHANNELS Noura Sellami yz, Mohamed Siala y, David Declercq z, Ibar Fijalkow z y Frace Telecom R&D, 38-40 rue du Gééral Leclerc 92794 Issy les Moulieaux,

More information

Comparison of Color Features for Image Retrieval

Comparison of Color Features for Image Retrieval Compariso of Color Feaures for Image Rerieval S.R. Kodiuwakku 1 Deparme of Saisics & Compuer Sciece, Uiversiy of Peradeiya salukak@pd.ac.lk S.Selvarajah Deparme of Physical Sciece, Vavuiya Campus, Uiversiy

More information

Field-Effect Transistors (FETs) 3.4 The p-channel MOSFET & COMS

Field-Effect Transistors (FETs) 3.4 The p-channel MOSFET & COMS Field-Effec Trasisors (FETs 3.4 The p-chael MOSFET & COMS A p-chael ehaceme-ype MOSFET is fabricaed o a -ype subsrae wih p+ regios for he drai ad source, ad has holes as charge carriers. The deice operaes

More information

An optimization algorithm for the calculation of the electrostatic discharge current equations parameters

An optimization algorithm for the calculation of the electrostatic discharge current equations parameters WSEAS TRANSACTIONS o CIRCUITS ad SYSTEMS Vasiliki Via George P. Fois Lambros Ekoomou A opimizaio algorihm for he calculaio of he elecrosaic discharge curre equaios parameers VASILIKI VITA GEORGE P. FOTIS

More information

Transmit Power Efficiency of Multi-Hop Hybrid Selection/MRC Diversity for a DS-CDMA Virtual Cellular Network

Transmit Power Efficiency of Multi-Hop Hybrid Selection/MRC Diversity for a DS-CDMA Virtual Cellular Network Trasmi ower Efficiecy of Muli-Hop Hybri Selecio/ Diversiy for a DS-CDMA Virual Cellular ework Imae DAOU, Eisuke KUDOH a Fumiyuki ADACHI Dep. of Elecrical a Commuicaio Egieerig, Grauae School of Egieerig,

More information

Experiment 2: Waveform Analysis

Experiment 2: Waveform Analysis Specrum aalyzer Experime : Waveform Aalysis 8/3/6 his experime is o familiarize you wih he aalysis of sigals ad eworks usig he HP 358A Specrum Aalyzer. he aalysis of sigals is achieved i he ope loop mode

More information

Digital Communications (by B. Sklar)

Digital Communications (by B. Sklar) Digial Commuicaios by B. Sklar Sug Ho Cho Voice 2 222 39 Cellular 11 412 5178 E mail: drago@hayag.ac.kr Coes 1 Sigals ad Specra Formaig ad Basebad Trasmissio Badpass Modulaio ad Demodulaio Chael Codig

More information

ON THE QAM PARALLEL TURBO-TCM SCHEMES USING RECURSIVE CONVOLUTIONAL GF(2 N ) ENCODERS

ON THE QAM PARALLEL TURBO-TCM SCHEMES USING RECURSIVE CONVOLUTIONAL GF(2 N ) ENCODERS 8h Europea Sigal Processig Coferece (EUSIPCO-00) Aalborg, Demark, Augus 3-7, 00 O THE QAM PARAE TURBO-TCM SCHEMES USIG RECURSIVE COVOUTIOA GF( ) ECODERS Adria Flori Pău, Cǎli Vlǎdeau, Io Marghescu, Safwa

More information

MULTI USER DETECTION FOR CDMA- OFDM/OQAM SYSTEM COMBINED WITH SPACE TIME CODING

MULTI USER DETECTION FOR CDMA- OFDM/OQAM SYSTEM COMBINED WITH SPACE TIME CODING Ieraioal Joural of Wireless & Mobile Neworks (IJWMN) Vol. 4, No. 4, Augus 212 MULTI USER DETECTION FOR CDMA- OFDM/OQAM SYSTEM COMBINED WITH SPACE TIME CODING Radhia GHARSALLAH 1 ad Ridha BOUALLEGUE 2 1

More information

A New Power System Oscillation Type Identification Method Based on Empirical Mode Decomposition and Hilbert Transform

A New Power System Oscillation Type Identification Method Based on Empirical Mode Decomposition and Hilbert Transform Proceedigs of he World Cogress o Egieerig ad Compuer Sciece 4 Vol I WCECS 4, -4 Ocober, 4, Sa Fracisco, USA A New Power Sysem Oscillaio Type Ideificaio Mehod Based o Empirical Mode Decomposiio ad Hilber

More information

Moment-Based Bound on Peak-to-Average Power Ratio and Reduction with Unitary Matrix

Moment-Based Bound on Peak-to-Average Power Ratio and Reduction with Unitary Matrix Mome-Based Boud o Peak-o-Average Power Raio ad Reducio wih Uiary Marix Hirofumi Tsuda Deparme of Applied Mahemaics ad Physics Graduae School of Iformaics Kyoo Uiversiy Kyoo Japa suda.hirofumi.38u@s.kyoo-u.ac.jp

More information

EE123 Digital Signal Processing

EE123 Digital Signal Processing Aoucemes EE3 Digial Sigal Processig Lecure Miderm: Friday ex week Ope everyhig... bu chea shee recommeded isead Who ca o say ill pm? Opioal homework ex week Will give you miderm ad pracice quesios How

More information

Self-Interference Cancellation in Full-Duplex Radio Transceivers with Oscillator Phase Noise

Self-Interference Cancellation in Full-Duplex Radio Transceivers with Oscillator Phase Noise Self-Ierferece Cacellaio i Full-Duplex Radio Trasceivers wih Oscillaor Phase Noise Ville Syrjälä ad Koji Yamamoo Graduae School of Iformaics Kyoo Uiversiy Yoshida-homachi Sakyo-ku Kyoo-shi 606-8501 Kyoo

More information

In Color We Live C IP E I. In Color We Live. t n. In Color We Live

In Color We Live C IP E I. In Color We Live. t n. In Color We Live I r We Live Eviro me I r We Live IP E I 0 12 I 2 T E vir ome 0 12 I 2 T IPEI Evirome IPEI 012 I 2 T I r We Live Iesiy Idepede RGB-o-XYZ ur amera alibraio Bria FUNT, ad Pouya BSTNI School of ompuig Sciece,

More information

Improving the energy efficiency for the WBSN bottleneck zone based on random linear network coding

Improving the energy efficiency for the WBSN bottleneck zone based on random linear network coding Improvig he eergy efficiecy for he WBSN boleeck zoe based o radom liear ework codig Al Shahee, H ad Takruri Rizk, H hp://dx.doi.org/10.1049/ie wss.2017.0056 Tile Auhors Type URL Improvig he eergy efficiecy

More information

Limb-Vector Paralleling: A General Approach to Translate Postures from Human to Humanoid Robots

Limb-Vector Paralleling: A General Approach to Translate Postures from Human to Humanoid Robots Limb-Vecor Parallelig: A Geeral Approach o Traslae Posures from Huma o Humaoid Robos Zhuo-Li Bao, Shih-Li Che, Chi-Chag Tug, Rayi Yau Tara, Hadziq Fabroyir ad Wei-Chug Teg Absrac evelopig iuiive ierface

More information

Multiuser Precoding for UWB Sensor Networks

Multiuser Precoding for UWB Sensor Networks Muliuser Precodig for UWB Sesor Neworks Heirich Luecke ad Armi Wiebe Commuicaio Techology Laboraory, ETH Zurich, 89 Zurich, Swizerlad {lueckeh, wiebe}@ari.ee.ehz.ch Absrac We cosider he dowlik of a UlraWidebad

More information

Geo-Encryption Protocol For Mobile Networks

Geo-Encryption Protocol For Mobile Networks Geo-Ecrypio Proocol For Mobile Neworks Ala Al-Fuqaha, Omar Al-Ibrahim, Ammar Rayes * Deparme of Compuer Sciece Weser Michiga Uiversiy Kalamazoo, MI {alfuqaha, oalibrah } @cs.wmich.edu Absrac We propose

More information

A Novel Filter for Terrain Mapping With Laser Rangefinders

A Novel Filter for Terrain Mapping With Laser Rangefinders Published i IEEE Trasacios o Roboics ad Auomaio, Vol., No. 5, Oc. 4, pp. 93-9 A Novel Filer for Terrai Mappig Wih Laser Ragefiders Cag Ye, Member, IEEE ad Joha Borese Member, IEEE Absrac This paper iroduces

More information

MIMO-OFDM with Pilot-Aided Channel Estimation for WiMax Systems

MIMO-OFDM with Pilot-Aided Channel Estimation for WiMax Systems Fir Ieraioal Workhop o he Performace Ehaceme i MIMO-OFDM Syem MIMO-OFDM wih Pilo-Aided Chael Eimaio for WiMax Syem Fabie Delere ad Yichuag Su School of Egieerig ad echology Uiveriy of Herfordhire, Hafield,

More information

Fast and Accurate Behavioral Simulation of Fractional-N Frequency Synthesizers and other PLL/DLL Circuits

Fast and Accurate Behavioral Simulation of Fractional-N Frequency Synthesizers and other PLL/DLL Circuits Fas ad Accurae Behavioral Simulaio of Fracioal-N Frequecy Syhesizers ad oher PLL/LL Circuis Michael H. Perro Microsysems Techology Laboraory, MIT perro@mi.edu, hp://www-ml.mi.edu/ perro ABSTRACT Techiques

More information

June : 2016 (CBCS) Negative terminal for forward bias. Positive terminal for forward bias. Cathode ( n-type)

June : 2016 (CBCS) Negative terminal for forward bias. Positive terminal for forward bias. Cathode ( n-type) s Year : Commo o all raches Jue : 6 (CCS) Noe : Max. marks : 6 (i) (ii) (iii) (iv) emp ay five quesios ou of seve quesios. ll quesios carry equal marks. Draw he ea diagram, wheever ecessary. ssume daa,

More information

APPLICATION NOTE UNDERSTANDING EFFECTIVE BITS

APPLICATION NOTE UNDERSTANDING EFFECTIVE BITS APPLICATION NOTE AN95091 INTRODUCTION UNDERSTANDING EFFECTIVE BITS Toy Girard, Sigatec, Desig ad Applicatios Egieer Oe criteria ofte used to evaluate a Aalog to Digital Coverter (ADC) or data acquisitio

More information

Analysis of Current Starved Voltage Controlled Oscillator using 45nm CMOS Technology

Analysis of Current Starved Voltage Controlled Oscillator using 45nm CMOS Technology SSN (Pri) : 30 3765 SSN (Olie): 78 8875 eraioal Joural of Advaced Research i Elecrical, Elecroics ad srumeaio Egieerig (A SO 397: 007 erified Orgaizaio) ol. 3, ssue 3, March 014 Aalysis of urre Sarved

More information

weight: amplitude of sine curve

weight: amplitude of sine curve Joseph Fourier s claim: all signals are sums of sinusoids of differen frequencies. weighed sine curves weigh: ampliude of sine curve all : no exacly bu doesn maer for us in pracice Example: 3 sin() + sin(*)

More information

Lecture September 6, 2011

Lecture September 6, 2011 cs294-p29 Seminar on Algorihmic Game heory Sepember 6, 2011 Lecure Sepember 6, 2011 Lecurer: Chrisos H. Papadimiriou Scribes: Aloni Cohen and James Andrews 1 Game Represenaion 1.1 abular Form and he Problem

More information

A new terrain mapping method for mobile robots obstacle negotiation

A new terrain mapping method for mobile robots obstacle negotiation A ew errai mappig mehod for mobile robos obsacle egoiaio Cag Ye ad Joha Boresei Advaced Techologies Lab The Uiversiy of Michiga 0 Beal Ave, A Arbor, MI, USA 4809-0 ABSTRACT This paper iroduces a ew errai

More information

IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, VOL. 32, NO. 5, MAY

IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, VOL. 32, NO. 5, MAY IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, VOL. 32, NO. 5, MAY 2014 1 Updae-Efficiecy ad Local Repairabiliy Limis for Capaciy Approachig Codes Arya Mazumdar Member, IEEE, Veka Chadar, ad Gregory

More information

4.5 Biasing in BJT Amplifier Circuits

4.5 Biasing in BJT Amplifier Circuits 4/5/011 secion 4_5 Biasing in MOS Amplifier Circuis 1/ 4.5 Biasing in BJT Amplifier Circuis eading Assignmen: 8086 Now le s examine how we C bias MOSFETs amplifiers! f we don bias properly, disorion can

More information

A Channel Estimation Method for MIMO-OFDM Mobile WiMax Systems

A Channel Estimation Method for MIMO-OFDM Mobile WiMax Systems A Chael Eimaio Mehod for MIMO-OFDM Mobile WiMax Syem Fabie Delere ad Yichuag Su School of Egieerig ad echology Uiveriy of Herfordhire, Hafield, Her, AL0 9AB, UK Abrac I hi paper, chael eimaio for Space-ime

More information

Solution of ECE 342 Test 2 S12

Solution of ECE 342 Test 2 S12 Soluion of ECE 342 Tes 2 S2. All quesions regarding superheerodyne receivers refer o his diagram. x c () Anenna B T < B RF < 2 f B = B T Oher Signals f c Mixer f Baseband x RFi RF () x RFo () () () x i

More information

Research on Reliability for Wind Turbine Transmission System Based on Random Theory

Research on Reliability for Wind Turbine Transmission System Based on Random Theory Advaced ciece ad Techology Leers Vol8 (CT 5) pp3-9 hp://ddoiorg/457/asl58 Research o Reliabiliy or Wid Turbie Trasmissio ysem Based o Radom Theory Xi Gua Huadog Wag 3 Zhili u Da Zhao chool o Mechaical

More information

Technology Trends & Issues in High-Speed Digital Systems

Technology Trends & Issues in High-Speed Digital Systems Deailed comparison of dynamic range beween a vecor nework analyzer and sampling oscilloscope based ime domain reflecomeer by normalizing measuremen ime Sho Okuyama Technology Trends & Issues in High-Speed

More information

Expanding the Twin Pulse Swing Free Profile

Expanding the Twin Pulse Swing Free Profile 8 IEEE Ieraioal Coferece o Roboics ad Auomaio Pasadea, CA, USA, May 19-3, 8 Expadig he Twi Swig Free Profile David Bowlig, Gregory Sarr, Joh Wood ad Ro Lumia Deparme of Mechaical Egieerig The Uiversiy

More information

Square Waves, Sinusoids and Gaussian White Noise: A Matching Pursuit Conundrum? Don Percival

Square Waves, Sinusoids and Gaussian White Noise: A Matching Pursuit Conundrum? Don Percival Square Waves, Sinusoids and Gaussian Whie Noise: A Maching Pursui Conundrum? Don Percival Applied Physics Laboraory Deparmen of Saisics Universiy of Washingon Seale, Washingon, USA hp://faculy.washingon.edu/dbp

More information

When answering the following 25 questions, always remember that there is someone who has to grade them. So please use legible handwriting.

When answering the following 25 questions, always remember that there is someone who has to grade them. So please use legible handwriting. 38963, VU Mobile Kommunikaion Miderm Exam: Insiu für Nachrichenechnik und Hochfrequenzechnik When answering he following 5 quesions, always remember ha here is someone who has o grade hem So please use

More information

Volume Author/Editor: Simon Kuznets, assisted by Elizabeth Jenks. Volume URL:

Volume Author/Editor: Simon Kuznets, assisted by Elizabeth Jenks. Volume URL: This PDF is a selecion from an ou-of-prin volume from he Naional Bureau of Economic Research Volume Tile: Shares of Upper Income Groups in Income and Savings Volume Auhor/Edior: Simon Kuznes, assised by

More information

Mean Waiting and Turnaround Time for Multiple Web Transaction

Mean Waiting and Turnaround Time for Multiple Web Transaction Mea Waiig ad uraroud ie for Muliple Web rasacio Yog-Ji Lee Dep. of Copuer Sciece Woosog Uiversiy aejo, 300-78, Korea yjlee@woosog.ac.kr M. Aiquzzaa School of Copuer Sciece Uiversiy of Oklahoa Nora, OK

More information

Lecture #7: Discrete-time Signals and Sampling

Lecture #7: Discrete-time Signals and Sampling EEL335: Discree-Time Signals and Sysems Lecure #7: Discree-ime Signals and Sampling. Inroducion Lecure #7: Discree-ime Signals and Sampling Unlike coninuous-ime signals, discree-ime signals have defined

More information

Notes on the Fourier Transform

Notes on the Fourier Transform Noes on he Fourier Transform The Fourier ransform is a mahemaical mehod for describing a coninuous funcion as a series of sine and cosine funcions. The Fourier Transform is produced by applying a series

More information

Logarithms APPENDIX IV. 265 Appendix

Logarithms APPENDIX IV. 265 Appendix APPENDIX IV Logarithms Sometimes, a umerical expressio may ivolve multiplicatio, divisio or ratioal powers of large umbers. For such calculatios, logarithms are very useful. They help us i makig difficult

More information

The design of an improved matched filter in DSSS-GMSK system

The design of an improved matched filter in DSSS-GMSK system Journal of Physics: Conference Series PAPER OPEN ACCESS The design of an improved mached filer in DSSS-GMSK sysem To cie his aricle: Mao Wei-ong e al 16 J. Phys.: Conf. Ser. 679 1 View he aricle online

More information

Pointwise Image Operations

Pointwise Image Operations Poinwise Image Operaions Binary Image Analysis Jana Kosecka hp://cs.gmu.edu/~kosecka/cs482.hml - Lookup able mach image inensiy o he displayed brighness values Manipulaion of he lookup able differen Visual

More information

SELEX Elsag. 5/18/2012 R. Pucci SDR 12 WinnComm 1

SELEX Elsag. 5/18/2012 R. Pucci SDR 12 WinnComm 1 SELEX Elsag 5/18/01 R. Pucci SDR 1 WiComm 1 Military BU - SELEX Elsag Possible update of SDR Platforms to COGNITIVE architectures COGNITIVE MANAGER INTERFACE Geolocatio, Voice, Video, etc Applicatio Policy

More information

The University of Melbourne Department of Mathematics and Statistics School Mathematics Competition, 2013 JUNIOR DIVISION Time allowed: Two hours

The University of Melbourne Department of Mathematics and Statistics School Mathematics Competition, 2013 JUNIOR DIVISION Time allowed: Two hours The Universiy of Melbourne Deparmen of Mahemaics and Saisics School Mahemaics Compeiion, 203 JUNIOR DIVISION Time allowed: Two hours These quesions are designed o es your abiliy o analyse a problem and

More information

Keywords:. Consumer Acceptance, Purchasing Power, Root Mean Square Error, Theil U Statistics

Keywords:. Consumer Acceptance, Purchasing Power, Root Mean Square Error, Theil U Statistics Ieraioal Joural of Ecoomics, Busiess ad Maageme Research Vol., No. 05; 07 ISSN: 456-7760 APPLICATION OF THE LOTKA-VOLTERRA MODEL IN EXPLORING THE SALES VOLUMES INTERACTIONS OF SMARTPHONES BETWEEN ASIA

More information

x y z HD(x, y) + HD(y, z) HD(x, z)

x y z HD(x, y) + HD(y, z) HD(x, z) Massachusetts Istitute of Techology Departmet of Electrical Egieerig ad Computer Sciece 6.02 Solutios to Chapter 5 Updated: February 16, 2012 Please sed iformatio about errors or omissios to hari; questios

More information

Lecture 4. EITN Chapter 12, 13 Modulation and diversity. Antenna noise is usually given as a noise temperature!

Lecture 4. EITN Chapter 12, 13 Modulation and diversity. Antenna noise is usually given as a noise temperature! Lecure 4 EITN75 2018 Chaper 12, 13 Modulaion and diversiy Receiver noise: repeiion Anenna noise is usually given as a noise emperaure! Noise facors or noise figures of differen sysem componens are deermined

More information

ISSCC 2007 / SESSION 29 / ANALOG AND POWER MANAGEMENT TECHNIQUES / 29.8

ISSCC 2007 / SESSION 29 / ANALOG AND POWER MANAGEMENT TECHNIQUES / 29.8 ISSCC 27 / SESSION 29 / ANALOG AND POWER MANAGEMENT TECHNIQUES / 29.8 29.8 A 3GHz Swiching DC-DC Converer Using Clock- Tree Charge-Recycling in 9nm CMOS wih Inegraed Oupu Filer Mehdi Alimadadi, Samad Sheikhaei,

More information

Lab 3 Acceleration. What You Need To Know: Physics 211 Lab

Lab 3 Acceleration. What You Need To Know: Physics 211 Lab b Lab 3 Acceleraion Wha You Need To Know: The Physics In he previous lab you learned ha he velociy of an objec can be deermined by finding he slope of he objec s posiion vs. ime graph. x v ave. = v ave.

More information

Power Conversion and Signal Transmission Integration Method Based on Dual Modulation of DC-DC Converters

Power Conversion and Signal Transmission Integration Method Based on Dual Modulation of DC-DC Converters IEEE TRANSATIONS ON INDUSTRIAL ELETRONIS 1 Power oversio ad Sigal Trasmissio Iegraio Mehod Based o Dual Modulaio of D-D overers Jiade Wu, Member, IEEE, Ji Du, Sude Member, IEEE, Zhegyu Li, Seior Member,

More information

Communications II Lecture 7: Performance of digital modulation

Communications II Lecture 7: Performance of digital modulation Communicaions II Lecure 7: Performance of digial modulaion Professor Kin K. Leung EEE and Compuing Deparmens Imperial College London Copyrigh reserved Ouline Digial modulaion and demodulaion Error probabiliy

More information

Memorandum on Impulse Winding Tester

Memorandum on Impulse Winding Tester Memorandum on Impulse Winding Teser. Esimaion of Inducance by Impulse Response When he volage response is observed afer connecing an elecric charge sored up in he capaciy C o he coil L (including he inside

More information

Research Article Improving the Performance of Modular Production in the Apparel Assembly: A Mathematical Programming Approach

Research Article Improving the Performance of Modular Production in the Apparel Assembly: A Mathematical Programming Approach Mahemaical Problems i Egieerig, Aricle ID 472781, 7 pages hp://dx.doi.org/1.1155/214/472781 Research Aricle Improvig he Performace of Modular Producio i he Apparel Assembly: A Mahemaical Programmig Approach

More information

Phase-Shifting Control of Double Pulse in Harmonic Elimination Wei Peng1, a*, Junhong Zhang1, Jianxin gao1, b, Guangyi Li1, c

Phase-Shifting Control of Double Pulse in Harmonic Elimination Wei Peng1, a*, Junhong Zhang1, Jianxin gao1, b, Guangyi Li1, c Inernaional Symposium on Mechanical Engineering and Maerial Science (ISMEMS 016 Phase-Shifing Conrol of Double Pulse in Harmonic Eliminaion Wei Peng1, a*, Junhong Zhang1, Jianxin gao1, b, Guangyi i1, c

More information

ECMA st Edition / June Near Field Communication Wired Interface (NFC-WI)

ECMA st Edition / June Near Field Communication Wired Interface (NFC-WI) ECMA-373 1 s Ediion / June 2006 Near Field Communicaion Wired Inerface (NFC-WI) Sandard ECMA-373 1 s Ediion / June 2006 Near Field Communicaion Wired Inerface (NFC-WI) Ecma Inernaional Rue du Rhône 114

More information

Errata and Updates for ASM Exam MLC (Fourteenth Edition) Sorted by Page

Errata and Updates for ASM Exam MLC (Fourteenth Edition) Sorted by Page Erraa for ASM Exam MLC Sudy Manual (Foureenh Ediion) Sored by Page 1 Erraa and Updaes for ASM Exam MLC (Foureenh Ediion) Sored by Page Pracice Exam 7:25 (page 1386) is defecive, Pracice Exam 5:21 (page

More information

R. W. Erickson. Department of Electrical, Computer, and Energy Engineering University of Colorado, Boulder

R. W. Erickson. Department of Electrical, Computer, and Energy Engineering University of Colorado, Boulder R. W. Erickso Deparme of Elecrical, Compuer, ad Eergy Egieerig Uiversiy of Colorado, Boulder 4.2.2. The Power MOSFET Gae Source Gae leghs approachig oe micro p - p Cosiss of may small ehacememode parallelcoeced

More information

Negative frequency communication

Negative frequency communication Negaive frequency communicaion Fanping DU Email: dufanping@homail.com Qing Huo Liu arxiv:2.43v5 [cs.it] 26 Sep 2 Deparmen of Elecrical and Compuer Engineering Duke Universiy Email: Qing.Liu@duke.edu Absrac

More information

Ch 9 Sequences, Series, and Probability

Ch 9 Sequences, Series, and Probability Ch 9 Sequeces, Series, ad Probability Have you ever bee to a casio ad played blackjack? It is the oly game i the casio that you ca wi based o the Law of large umbers. I the early 1990s a group of math

More information

Chapter 14: Bandpass Digital Transmission. A. Bruce Carlson Paul B. Crilly 2010 The McGraw-Hill Companies

Chapter 14: Bandpass Digital Transmission. A. Bruce Carlson Paul B. Crilly 2010 The McGraw-Hill Companies Communicaion Sysems, 5e Chaper 4: Bandpass Digial Transmission A. Bruce Carlson Paul B. Crilly The McGraw-Hill Companies Chaper 4: Bandpass Digial Transmission Digial CW modulaion Coheren binary sysems

More information

ELEG 3124 SYSTEMS AND SIGNALS Ch. 1 Continuous-Time Signals

ELEG 3124 SYSTEMS AND SIGNALS Ch. 1 Continuous-Time Signals Deparmen of Elecrical Engineering Universiy of Arkansas ELEG 3124 SYSTEMS AND SIGNALS Ch. 1 Coninuous-Time Signals Dr. Jingxian Wu wuj@uark.edu OUTLINE 2 Inroducion: wha are signals and sysems? Signals

More information

Lecture 4: Frequency Reuse Concepts

Lecture 4: Frequency Reuse Concepts EE 499: Wireless & Mobile Commuicatios (8) Lecture 4: Frequecy euse Cocepts Distace betwee Co-Chael Cell Ceters Kowig the relatio betwee,, ad, we ca easily fid distace betwee the ceter poits of two co

More information

10. The Series Resistor and Inductor Circuit

10. The Series Resistor and Inductor Circuit Elecronicsab.nb 1. he Series esisor and Inducor Circui Inroducion he las laboraory involved a resisor, and capacior, C in series wih a baery swich on or off. I was simpler, as a pracical maer, o replace

More information

A New Space-Repetition Code Based on One Bit Feedback Compared to Alamouti Space-Time Code

A New Space-Repetition Code Based on One Bit Feedback Compared to Alamouti Space-Time Code Proceedigs of the 4th WSEAS It. Coferece o Electromagetics, Wireless ad Optical Commuicatios, Veice, Italy, November 0-, 006 107 A New Space-Repetitio Code Based o Oe Bit Feedback Compared to Alamouti

More information

TELE4652 Mobile and Satellite Communications

TELE4652 Mobile and Satellite Communications TELE465 Mobile and Saellie Communicaions Assignmen (Due: 4pm, Monday 7 h Ocober) To be submied o he lecurer before he beginning of he final lecure o be held a his ime.. This quesion considers Minimum Shif

More information

Installing remote sites using TCP/IP

Installing remote sites using TCP/IP v dc Keypad from nework Whie/ 3 Whie/ 4 v dc Keypad from nework Whie/ 3 Whie/ 4 v dc Keypad from nework Whie/ 3 Whie/ 4 +v pu +v pu +v pu v dc Keypad from nework Whie/ 3 Whie/ 4 v dc Keypad from nework

More information

Frequency-domain Pre-Equalization for Multi-code DS-CDMA Mobile Radio

Frequency-domain Pre-Equalization for Multi-code DS-CDMA Mobile Radio Frequey-domai Pre-Equalizaio for Muli-ode DS-CDMA Mobile Radio Hiromihi TOMEBA Kazuaki TAKEDA ad Fumiyuki ADACHI Dep. of Elerial ad Commuiaio Egieerig, Graduae Shool of Egieerig, Tohoku Uiversiy 6-6-5

More information

Dead Zone Compensation Method of H-Bridge Inverter Series Structure

Dead Zone Compensation Method of H-Bridge Inverter Series Structure nd Inernaional Conference on Elecrical, Auomaion and Mechanical Engineering (EAME 7) Dead Zone Compensaion Mehod of H-Bridge Inverer Series Srucure Wei Li Insiue of Elecrical Engineering and Informaion

More information

lecture notes September 2, Sequential Choice

lecture notes September 2, Sequential Choice 18.310 lecture otes September 2, 2013 Sequetial Choice Lecturer: Michel Goemas 1 A game Cosider the followig game. I have 100 blak cards. I write dow 100 differet umbers o the cards; I ca choose ay umbers

More information

BER Performance of IM/DD FSO System with OOK using APD Receiver

BER Performance of IM/DD FSO System with OOK using APD Receiver 480 M.. PEKOVĆ, G.. ĐOĐEVĆ, D. N. MĆ, E PEFOMNCE OF M/DD FSO SYSEM WH OOK USNG PD ECEVE E Performace of M/DD FSO Sysem wih OOK usig PD eceiver Milica. PEKOVĆ, Gora. ĐOĐEVĆ, Deja N. MĆ Uiversiy of Niš,

More information

EE 330 Lecture 24. Amplification with Transistor Circuits Small Signal Modelling

EE 330 Lecture 24. Amplification with Transistor Circuits Small Signal Modelling EE 330 Lecure 24 Amplificaion wih Transisor Circuis Small Signal Modelling Review from las ime Area Comparison beween BJT and MOSFET BJT Area = 3600 l 2 n-channel MOSFET Area = 168 l 2 Area Raio = 21:1

More information

Delay Estimation for Global RC Interconnect Using Inverse Gamma Distribution Function

Delay Estimation for Global RC Interconnect Using Inverse Gamma Distribution Function Ieraioal Joural of Iforaio ad lecroics gieerig, Vol., No., March Delay siaio for Global RC Iercoec Usig Iverse Gaa Disribuio Fucio V. Maheshwari, Suia Gupa, V. Sayaaraya, R. Kar, D. Madal, ad A. K. Bhaacharjee

More information

Simulation Analysis of DC-DC Circuit Based on Simulink in Intelligent Vehicle Terminal

Simulation Analysis of DC-DC Circuit Based on Simulink in Intelligent Vehicle Terminal Open Access Library Journal 218, Volume 5, e4682 ISSN Online: 2333-9721 ISSN Prin: 2333-975 Simulai Analysis of DC-DC Circui Based Simulink in Inelligen Vehicle erminal Weiran Li, Guoping Yang College

More information

Table of Contents. 3.0 SMPS Topologies. For Further Research. 3.1 Basic Components. 3.2 Buck (Step Down) 3.3 Boost (Step Up) 3.4 Inverter (Buck/Boost)

Table of Contents. 3.0 SMPS Topologies. For Further Research. 3.1 Basic Components. 3.2 Buck (Step Down) 3.3 Boost (Step Up) 3.4 Inverter (Buck/Boost) Table of Conens 3.0 SMPS Topologies 3.1 Basic Componens 3.2 Buck (Sep Down) 3.3 Boos (Sep Up) 3.4 nverer (Buck/Boos) 3.5 Flyback Converer 3.6 Curren Boosed Boos 3.7 Curren Boosed Buck 3.8 Forward Converer

More information

LETTER A Novel Adaptive Channel Estimation Scheme for DS-CDMA

LETTER A Novel Adaptive Channel Estimation Scheme for DS-CDMA 1274 LETTER A Novel Adaptive Chael Estimatio Scheme for DS-CDMA Che HE a), Member ad Xiao-xiag LI, Nomember SUMMARY This paper proposes a adaptive chael estimatio scheme, which uses differet movig average

More information

A NEW DUAL-POLARIZED HORN ANTENNA EXCITED BY A GAP-FED SQUARE PATCH

A NEW DUAL-POLARIZED HORN ANTENNA EXCITED BY A GAP-FED SQUARE PATCH Progress In Elecromagneics Research Leers, Vol. 21, 129 137, 2011 A NEW DUAL-POLARIZED HORN ANTENNA EXCITED BY A GAP-FED SQUARE PATCH S. Ononchimeg, G. Ogonbaaar, J.-H. Bang, and B.-C. Ahn Applied Elecromagneics

More information

Teacher Supplement to Operation Comics, Issue #5

Teacher Supplement to Operation Comics, Issue #5 eacher Supplemen o Operaion Comics, Issue #5 he purpose of his supplemen is o provide conen suppor for he mahemaics embedded ino he fifh issue of Operaion Comics, and o show how he mahemaics addresses

More information

<Diode Modules> RM200CY-24S HIGH POWER SWITCHING USE INSULATED TYPE

<Diode Modules> RM200CY-24S HIGH POWER SWITCHING USE INSULATED TYPE dual swich (Cahode Common) Forward curren...... 2 0 0 A Repeiive peak reverse volage V RRM... 1 2 0 0 V Maximum juncion emperaure T jmax... 1 5 0 C Fla base Type Copper base plae RoHS Direcive

More information

Efficient burst assembly algorithm with traffic prediction

Efficient burst assembly algorithm with traffic prediction Efficien burs assembly algorihm wih raffic predicion Mmoloki Mangwala, Boyce B. Sigweni and Bakhe M. Nleya Deparmen of compuer science Norh Wes Universiy, Privae Bag X2046, Mmabaho, 2735 Tel: +27 8 3892,

More information

Receiver-Initiated vs. Short-Preamble Burst MAC Approaches for Multi-channel Wireless Sensor Networks

Receiver-Initiated vs. Short-Preamble Burst MAC Approaches for Multi-channel Wireless Sensor Networks Receiver-Iniiaed vs. Shor-Preamble Burs MAC Approaches for Muli-channel Wireless Sensor Neworks Crisina Cano, Boris Bellala, and Miquel Oliver Universia Pompeu Fabra, C/ Tànger 122-140, 08018 Barcelona,

More information

Variation Aware Cross-Talk Aggressor Alignment by Mixed Integer Linear Programming

Variation Aware Cross-Talk Aggressor Alignment by Mixed Integer Linear Programming ariaion Aware Cross-alk Aggressor Alignmen by Mixed Ineger Linear Programming ladimir Zoloov IBM. J. Wason Research Cener, Yorkown Heighs, NY zoloov@us.ibm.com Peer Feldmann D. E. Shaw Research, New York,

More information

MATLAB/SIMULINK TECHNOLOGY OF THE SYGNAL MODULATION

MATLAB/SIMULINK TECHNOLOGY OF THE SYGNAL MODULATION J Modern Technology & Engineering Vol2, No1, 217, pp76-81 MATLAB/SIMULINK TECHNOLOGY OF THE SYGNAL MODULATION GA Rusamov 1*, RJ Gasimov 1, VG Farhadov 1 1 Azerbaijan Technical Universiy, Baku, Azerbaijan

More information

A Reduced Complexity Channel Estimation for OFDM Systems with Precoding and Transmit Diversity in Mobile Wireless Channels Hlaing Minn, Dong In Kim an

A Reduced Complexity Channel Estimation for OFDM Systems with Precoding and Transmit Diversity in Mobile Wireless Channels Hlaing Minn, Dong In Kim an A Reduced Complexity Chael Estimatio for OFDM Systems with Precodig ad Trasmit Diversity i Mobile Wireless Chaels Hlaig Mi, Dog I Kim ad Vijay K. Bhargava Departmet of Electrical ad Computer Egieerig,

More information

(This lesson plan assumes the students are using an air-powered rocket as described in the Materials section.)

(This lesson plan assumes the students are using an air-powered rocket as described in the Materials section.) The Mah Projecs Journal Page 1 PROJECT MISSION o MArs inroducion Many sae mah sandards and mos curricula involving quadraic equaions require sudens o solve "falling objec" or "projecile" problems, which

More information

2600 Capitol Avenue Suite 200 Sacramento, CA phone fax

2600 Capitol Avenue Suite 200 Sacramento, CA phone fax 26 Capiol Avenue Suie 2 Sacrameno, CA 9816 916.64.4 phone 916.64.41 fax www.esassoc.com memorandum dae Sepember 2, 216 o from subjec Richard Rich, Ciy of Sacrameno; Jeffrey Dorso, Pioneer Law Group Brian

More information

Implementation of Variable Duty Cycle Ring Oscillator for Unique Identification

Implementation of Variable Duty Cycle Ring Oscillator for Unique Identification Imlemeaio of Variable Duy Cycle Rig Oscillaor for Uique Ideificaio N.Sivasakari (), B.Balambiga () ad P.Idumahi (3) () Assisa Professor, Dearme of Elecroics ad Commuicaio Egieerig Meco Schlek college of

More information

Cooperative Spectrum Sensing in Cognitive Radio Networks

Cooperative Spectrum Sensing in Cognitive Radio Networks Cooperative Spectrum Sesig i Cogitive Radio Networks Ghurumuruha Gaesa ad Ye (Geoffrey) Li School of Electrical ad Computer Egieerig Georgia Istitute of Techology, Atlata, Georgia 30332 0250 Abstract I

More information

Multipath. Introduction. Theory. Multipath 7.1

Multipath. Introduction. Theory. Multipath 7.1 Mulipa 7. Mulipa Inroducion Tere are wo caracerisics o radio cannels a presen serious diiculies or elecommunicaion sysems. One is e remendous dynamic range a mus be accommodaed due o e large cange in pa

More information

BELECTRIC: Enhanced Frequency Control Capability

BELECTRIC: Enhanced Frequency Control Capability BELECTRIC: Enhanced Frequency Conrol Capabiliy Tim Müller, CTO 28/03/2018 0 Company profile Yearly oal revenue of 550M EUR 84 MW / 95 MWh energy sorage sysems insalled or under consrucion Over 120 paens

More information

EE201 Circuit Theory I Fall

EE201 Circuit Theory I Fall EE1 Circui Theory I 17 Fall 1. Basic Conceps Chaper 1 of Nilsson - 3 Hrs. Inroducion, Curren and Volage, Power and Energy. Basic Laws Chaper &3 of Nilsson - 6 Hrs. Volage and Curren Sources, Ohm s Law,

More information

Introduction to Wireless Communication Systems ECE 476/ECE 501C/CS 513 Winter 2003

Introduction to Wireless Communication Systems ECE 476/ECE 501C/CS 513 Winter 2003 troductio to Wireless Commuicatio ystems ECE 476/ECE 501C/C 513 Witer 2003 eview for Exam #1 March 4, 2003 Exam Details Must follow seatig chart - Posted 30 miutes before exam. Cheatig will be treated

More information