EITG05 Digital Communications
|
|
- Aubrie Randall
- 5 years ago
- Views:
Transcription
1 Week, Lecure ETG5 Digial Communicaions Week, Lecure Signal Consellaions (. 55) ichael Lenmaier Thursday, Augus, 7 Chaer : odel of a Digial Communicaion Sysem. Signal consellaions.. Pulse amliude modulaion (PA).. Phase shif keying (PSK)... Freuency shif keying (FSK).. Pulse osiion modulaion (PP)..5 Quadraure amliude modulaion (QA).. Pulse widh modulaion (PW)..7. ulione ing: OFD Pages 55 (excluding...) Exercises: Problems.,.,.,.a,.8,.5 Augus, 7 ichael Lenmaier, Fall 7 Digial Communicaions: Week, Lecure Signal consellaions n case of -ary ing, one of = k messages m[i] is ransmied by is corresonding alernaive Pulse Amliude odulaion (PA) n ulse amliude modulaion he message is maed ino he amliude only: s`() {s (),s (),...,s ()} s`()=a` g(), ` =,,..., When he message euals m[i]=j hen s j ( it s ) is sen s()=s m[] ()+s m[] ( T s )+s m[] ( T s )+ The consellaion is he se of ossible alernaives The maing defines which message is assigned o which Quesion: how should we choose he differen s? PA is a naural generaliaion of binary on-off ing and aniodal ing, which are secial cases for = A common choice are euidisan amliudes locaed symmerically around ero: A` = + + `, ` =,,..., Examle: =, A =, A =, A =+, A =+ The same consellaion {A`} `= = {±,±,±5,...,±( )} could also be used wih oher maings ichael Lenmaier, Fall 7 Digial Communicaions: Week, Lecure ichael Lenmaier, Fall 7 Digial Communicaions: Week, Lecure
2 Examle of -ary PA.. Signal Consellaions Symbol Energy of PA The symbol energy of a PA is s()/a E` = Using / s` () d = Eg = 8 A` g () d s` () d we can wrie he average symbol energy as Es = Eg  P` A` `= Ofen he messages are eually likely, i.e., P` = he symmeric consellaion from above we ge Figure.7: An examle of a seuence s() of -ary PA alernaives (see A` = +, ` =in,,...,wih amliude ()` (defined (D.)) A and (.)). The ulse shaeis+ ghcs duraion T = /. The ime axis shows he ime inerval 8. Wha is he message seuence m[i]? Es = Eg assumed ha (.9) alies. Hence, he se of ossible amliudes {A }= is (from (.9)), Digial Communicaions: Week, Lecure {A }= = {±, ±, ±5,..., ±(.. Bandass Signals: Basic Conces )} = Di,j and Wih P` = = n= (s () n= i ( n= a WLP ) sj ()) d = Eg (Ai ( ) ( n = Di,j = Eg (i disance beween wo PA Aj ) (.7) ) j) a) sb () = s() cos( fc ) =  Am[i] g( (.8) Examle: been used. Assume ha s() is a -ary PA, s() =has n= Am[n] grec ( is illusraed below in he ime inerval 7. minimum Euclidean We will laer see ha he disance min Di,j = Eg (i j) (.9) i,j Di,j srongly influences he error robabiliy of he receiver s()/a ichael Lenmaier, Fall 7 Digial Communicaions: Week, Lecure s() above is consan. The xdsb EXAPLE. Comare his wih Examle.7 on age 8 For his reason, euidisan consellaions are ofen used i ) cos( fc ) i= n his secial case he suared Euclidean disance Di,j in (.) is, WLP wan o ransmi s a high n many alicaions we a/ freuencies, cenered around a carrier freuency fc f [H] f [H] WLP fc fc To achieve his, we can mulily he original PA s() wih b) Lower sideband Uer sideband a sinusoidal (more abou his we see in Cha. ) Figure.: llusraing he freuency conen in x () and xdsb sc (). a) X (f ) ; b) Xdsb sc (f ). Chaer. nformaion Transmission wih Carrier odulaion... and A` = + + ` his becomes Xdsb-sc (f) = F{x ()cos(πf c)} X (f) where is used ha (see [5]), The isuared Euclidean alernaives is Bandass -ary PA (.) sc ()/A g Digial Communicaions: Week, Lecure n Examle. below, digial informaion is ransmied wih -ary PA echniue and DSB-SC modulaion (i.e. -ary bandass PA). ( + + `) = Eg E = E Euclidean disances of PA s s. ransmission (VSB), one sideband and only a fracion of he oher sideband is ransmied, see [], [], [59]. We hen obain, = k, and for ichael Lenmaier, Fall 7 (.5) xdsb ichael Lenmaier, Fall 7 / 5 7 cos( π f c ) is shown below where fc = / ichael Lenmaier, Fall 7 echniue: s() above is ransmied wih DSB-SC sc () n ), and s() / 5 7 Digial Communicaions: Week, Lecure As usual he energy Edsb imoran arameers, sc, and he energy secrum of xdsb Z sc () in (.), are
3 Phase Shif Keying (PSK) Examle of QPSK We have seen ha wih PA ing he message modulaes he amliude A` of he s`() The idea of hase shif keying ing is o modulae insead he hase n` of s`() s()/a.8... f we choose s`()=g() cos( f c + n`), ` =,,...,, f c = nr s for some osiive ineger n, hen n full cycles of he carrier wave are conained wihin a symbol inerval T s = : binary PSK (BPSK) wih n = and n = is euivalen o binary PA wih A =+ and A = = : -ary PSK is also called uadraure PSK (QPSK)....8 /T s f c = R s, n =, n = /, n =, and n = / Wha is he message seuence m[i]? ichael Lenmaier, Fall 7 Digial Communicaions: Week, Lecure ichael Lenmaier, Fall 7 Digial Communicaions: Week, Lecure Symmeric -ary PSK Normally, he hase alernaives are locaed symmerically on a circle n` = ` + n cons, ` =,,...,, where n cons is a conan hase offse value f P` =, and f c R s, hen he average symbol energy is E s = E g and D i,j = E g ( cos(n i n j )) PSK has a consan symbol energy Freuency Shif Keying (FSK) nsead of amliude and hase, he message can modulae he freuency f` s`()=a cos( f` + n), ` =,,..., Amliude A and hase n are consans n many alicaions he freuency alernaives f` are chosen such ha he s are orhogonal, i.e., f n = or n = R s f` = n + ` R s s i () s j () d =, i = j / (ofen used), hen we can choose def = f + ` f D, ` =,,...,, where n and are osiive inegers ichael Lenmaier, Fall 7 Digial Communicaions: Week, Lecure ichael Lenmaier, Fall 7 Digial Communicaions: Week, Lecure
4 Chaer. odel of a Digial Communicaion Sysem inerval. n, he `:h alernaive, s (), may be exressed as, Examle of -ary FSK Chaer. odel of a Digial Communicaion Sysem s () = c( ` / ) ` =,,..., (.8) -ary FSK where he ulse c() euals ero ouside he ime inerval /. Noe.8 ha alernaive s () euals ero ouside he ime slo ` /. (` + ) /. So, he message modulaes only he osiion of he ulse c(). hrough he delay alernaives ` /. Observe ha he alernaives are. orhogonal since he roduc of wo alernaives euals ero, Energy and Disance of -ary FSK.. si ()sj ()d = /T, s i = j Es = (.8) Observe ha Es is he same as for -ary PSK wih Eg = A A secial roery of FSK is ha he Euclidean disance Di,j is he same for any air (i, j) of s This means ha we can increase (and hus he bi rae Rb ) wihou increasing he error robabiliy n=, ( +) / c ( ` / )d = Ec f = Rs, f= /Rs, f = Rs, and f = Rs (.8) menioned here ha a so-called Simlex consella should alsobe ion (see refs. [8], []) is obained by subracing he average a() = P E = Ec (.85) E s = P smessage () from each of he (orhogonal) FSK alernaives s () in Wha is seuence m[i]? = he = (.8). Hence,Z{s () a()} = is hen a Simlex consellaion. Di,j = ichael Lenmaier, Fall 7 (si () sj ()) d = Ei + Ej = Ec Communicaions: Week, Lecure... -dimensional Digial vecor reresenaion of orhogonal -ary FSK n ulse osiion modulaion he message modulaes he osiion s () s () = E = s, + + (), ` =,,..., (.78) of a shor EXAPLE.ulse c()e wihin he symbol inerval + Assume ha we have sa, binary seuence of messages m[i] ha is,,,,,,. Skech + () he ransmied s() 7T s` ()in=(.) c in` he ime, inerval ` =,,..., b if binary PP (BPP)The ing is oin used. here Assume in alernaive (.8) has sa()recangular shae wih can be exressed imoran is haha eachc() by amliude eual o., The duraion of,...,s he,ulse c() wih hasobasis saisfy T Tresecively. combined funcions As coordinaes, s / before, he energy in each basis funcion is eual o one, and wo basis funcions The ulses are orhogonal and we ge Soluion: are orhogonal (see (.7)). Since he basis funcions are known, he secific The i:h message m[i] is reresened by he waveform sm[i] ( i), and = ktb = Tb. comleely defined byi + he alernaive s () sis=,,...,s,. Dand E ETc /). sso, c, = c() j =coordinaes i,j =se we find ha The wo alernaives Eare se() () = c( Noe ha for alernaive s (), all coordinaes exce ss, + are eual o s()examle: is, ero, and s = E., + Conseuenly, orhogonal -ary FSK alernaives may be described by s() using an -dimensional vecor. This is illusraed in Figure 5. on age () () () () () () () (relace he -dimensional vecor j by sj = (sj,, sj,,..., sj, )). Tb Tb Tb Tb 5 Tb Tb 7 Tb Digial Communicaions: Week, Lecure ichael Lenmaier, Fall 7 Digial Communicaions: Week, Lecure Pulse Widh odulaion (PW) n ulse widh modulaion he message modulaes he duraion T of a ulse c() wihin he symbol inerval s` () = c, ` =,,..., ` The duraion of he ulse c() is eual o T = follows ha s` () is ero ouside he inerval ` is assumed ha ` < Average symbol energy: E s = Ec ` Examle: s() A Used for low-ower oical links (e.g. R remoe conrols) ichael Lenmaier, Fall 7 Wha haens wih he bandwidh W if increases? (.8) Hence, all alernaives have he same energy since a ime delayed version alernaives c( ) of a waveform c() does no change he energy conen. Signal alernaives As PP for heare revious consellaions is convenien o useused an alernaive for -ary very differen from he i alernaives in orhogonal descriion of orhogonal -ary FSK alernaives. Since wo differen sig-ary FSK. However, in erms of energy- and Euclidean disance-characerisics, nal alernaives by definiion are orhogonal, we can scale each alernaive Posiion (PP) hepulse woand consellaionsodulaion are idenical (le E c = A / and comare wih hereby obain basis funcions. So, (.75) (.77)). - A Di,j = Ei + Ej = A. in he ulse c(). Then he following resuls are Le Ec denoe he energy.8 obained, Z E = s ()d = Choosing f` Rs and he orhogonal freuency alernaives form above we ge Used in conrol alicaions, no much for daa ransmission (e.g., seed of CPU fan, LED inensiy) ichael Lenmaier, Fall 7 Digial Communicaions: Week, Lecure
5 Quadraure Amliude odulaion (QA) Energy and Disance of -ary QA Wih QA ing he message modulaes he amliudes of wo orhogonal s (inhase and uadraure comonen) s`()=a` g() cos( f c ) B` g() sin( f c ), ` =,,..., Choosing f c R s i can be shown ha = A E` ` + B` E g We can inerre s`() as he sum of wo bandass PA s oivaion: We can ransmi wo s indeendenly using he same carrier freuency and bandwidh The s`() can also be exressed as s`()=g() A ` + B` cos( f c + n`) follows ha QA is a generaliaion of PSK: selecing A ` + B` = we can u he informaion ino n` and ge A` = cos(n`), B` = sin(n`) D i,j = (A i A j ) +(B i B j ) E g A common choice are euidisan amliudes locaed symmerically around ero: (wo -ary PA wih k/ bis each) n {A`} `= = {B`} o `= = ±,±,±5,...,± For eually likely messages P` =, his resuls in he average energy E s = Â `= E` = ( ) E g ichael Lenmaier, Fall 7 Digial Communicaions: Week, Lecure ichael Lenmaier, Fall 7 Digial Communicaions: Week, Lecure Geomeric inerreaion is ossible o describe QA s as wo-dimensional vecors in a so-called sace For his he is wrien as s`()=a` g() cos( f c ) B` g() sin( f c ) s`()=s`, f ()+s`, f () Here s`, = A` Eg / and s`, = B` Eg / are he coordinaes The funcions f () and f () form an orhonormal basis of a vecor sace ha sans all ossible ransmi s: f ()= g() cos( f c ) Eg / This looks absrac, bu can be very useful!, f ()= g() sin( f c ) Eg / Signal sace reresenaion of QA Now we can describe each alernaive s`() as a oin wih coordinaes (s`,,s`, ) wihin a consellaion diagram -QA -QA -QA s`, = A` E g /, s`, = B` E g / The energy E` and he Euclidean disance D i,j can be deermined in he sace ichael Lenmaier, Fall 7 Digial Communicaions: Week, Lecure ichael Lenmaier, Fall 7 Digial Communicaions: Week, Lecure
6 n Figure 5. examles of hese consellaions are shown in sace, for differen valuesof. Noe ha for -ary PSK he oins lie on a circle wih radius E s = Eg /. -PA -PA 8-PA Signal sace reresenaion of PSK and PA PSK 5 7 and PA can be seen as a secial cases of QA: -PSK -PSK (QPSK) (ν ) = π 8-PSK s s s s AP Receiver s for hesawgn s The 5.. Channel s s s7 s55 s consellaions are shown in n Figure 5. examles of hese sace, s 7 for differen valuesof. Noe ha for -ary PSK he oins lie on a circle wih radius E s =-FSK E -FSK g /. s`, = cos(n` ) Eg /, -PA s s -PA s s s s`, = sin(n` ) Eg / s -QA ( ν = π ) s = ( + + `) Eg Digial Communicaions: Week, Lecure 8-PA s s s s55 s s77 -QA 5 7 -FSK -FSK Examle of an OFD symbol N =5, -ary QA in Chaer each subcarrier 5) Communicaion Sysem. odel of(. a Digial An OFD symbol Figure 5.: Examles of -ary PA, -ary PSK, -ary FSK and -ary QA consellaions in sace. See also he corresonding subsecions in -QA -QA -QA Chaer..average. he..8symbol received To be able o calculae energy for he con/ sellaion { ()}=, he energy of he individual s j () firs has o be calculaed, = j ()d (5.5) E j However, here exiss an alernaive way o obain he energy Ej direcly from N An g() examle of a secific symbol x() given x()figure = Â.: (a [n] cos( fn ) OFD aq [n] g() sin( fn ))in,(.5). The Figure 5.: Examles of -ary PA,inerval -ary PSK, FSK and -ary QA figure shows x()/a over he symbol -ary. n= consellaions in sace. See also he corresonding subsecions in Chaer. n his examle he symbol x() carries = bis common roery of his kind of s is ha relaively high eaks may occur (consrucive and desrucive addiion of he N s wihin a symbol To Lenmaier, be able othis calculae hedigial received energy he ichael Fall 7 Communicaions: Week,symbol Lecure raio inerval). is referred oaverage as he eak-o-average (PAR)for roblem asso- con sellaion { ()} energy of (see he ref. individual ciaed wih mulicarrier []). s j () firs has o be =, hemodulaion calculaed, EXAPLE.5 Z Disadvanage: only one freuency can be used a he same ime Orhogonal Freuency Division ulilexing (OFD): use QA a N orhogonal freuencies and ransmi he sum OFD is widely used in modern communicaion sysems: WLAN, LTE, DAB (radio), DVB (TV), DSL Examle: N = 9 -ary QA a each freuency (carrier) Then an OFD carries 9 = 57 bis ichael Lenmaier, Fall 7 How can such a sysem be realied in racice? ) OFD will be exlained in deail in he advanced course 8-PSK Wih FSK ing, orhogonal alernaives are ransmied a differen freuencies How does a yical OFD look like? -QA ichael Lenmaier, Fall 7 s -PSK (QPSK) `, -PSK s s ulione Signaling: OFD Digial Communicaions: Week, Lecure
UNIT IV DIGITAL MODULATION SCHEME
UNI IV DIGIAL MODULAION SCHEME Geomeric Represenaion of Signals Ojecive: o represen any se of M energy signals {s i (} as linear cominaions of N orhogonal asis funcions, where N M Real value energy signals
More informationLecture 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 informationChapter 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 informationAnalog/Digital Communications Primer
for Amaeur Radio Virginia Polyechnic Insiue & Sae Universiy March 19, 2013 # include //... in main() { floa kf = 0.1f; // modulaion facor liquid_freqdem_ype ype = LIQUID_FREQDEM_DELAYCONJ;
More informationPrinciples of Communications
Sae Key Lab. on ISN, Xidian Universiy Principles of Communicaions Chaper VI: Elemenary Digial Modulaion Sysem Email: ychwang@mail.xidian.edu.cn Xidian Universiy Sae Key Lab. on ISN December 13, 2013 Sae
More informationPassband Data Transmission I References Phase-shift keying Chapter , S. Haykin, Communication Systems, Wiley. G.1
Passand Daa ransmission I References Phase-shif keying Chaper 4.-4.3, S. Haykin, Communicaion Sysems, Wiley. G. Inroducion Inroducion In aseand pulse ransmission, a daa sream represened in he form of a
More informationDigital Communications - Overview
EE573 : Advanced Digial Communicaions Digial Communicaions - Overview Lecurer: Assoc. Prof. Dr Noor M Khan Deparmen of Elecronic Engineering, Muhammad Ali Jinnah Universiy, Islamabad Campus, Islamabad,
More informationRevision: June 11, E Main Suite D Pullman, WA (509) Voice and Fax
2.5.3: Sinusoidal Signals and Complex Exponenials Revision: June 11, 2010 215 E Main Suie D Pullman, W 99163 (509) 334 6306 Voice and Fax Overview Sinusoidal signals and complex exponenials are exremely
More informationChapter 2 Introduction: From Phase-Locked Loop to Costas Loop
Chaper 2 Inroducion: From Phase-Locked Loop o Cosas Loop The Cosas loop can be considered an exended version of he phase-locked loop (PLL). The PLL has been invened in 932 by French engineer Henri de Belleszice
More informationTELE4652 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 informationECE ANALOG COMMUNICATIONS - INVESTIGATION 7 INTRODUCTION TO AMPLITUDE MODULATION - PART II
ECE 405 - ANALOG COMMUNICATIONS - INVESTIGATION 7 INTRODUCTION TO AMPLITUDE MODULATION - PART II FALL 2005 A.P. FELZER To do "well" on his invesigaion you mus no only ge he righ answers bu mus also do
More informationWhen 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 informationNotes 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 informationEECS 380: Wireless Communications Weeks 5-6
EECS 380: Wireless Communicaions Weeks 5-6 Michael L. Honig Norhwesern Universiy April 2018 1 Why Digial Communicaions? 1G (analog) à 2G (digial) à 3G (digial) Digiized voice requires abou 64 kbps, herefore
More informationPassband Data Transmission II References Frequency-shift keying Chapter 6.5, S. Haykin, Communication Systems, Wiley. H.1
Passand Daa ransmission II Reerences Frequency-shi keying Chaper 6.5, S. Haykin, Communicaion Sysems, Wiley. H. Inroducion Inroducion PSK and QAM are linear modulaion FSK is a nonlinear modulaion Similar
More informationModulation exercises. Chapter 3
Chaper 3 Modulaion exercises Each problem is annoaed wih he leer E, T, C which sands for exercise, requires some hough, requires some concepualizaion. Problems labeled E are usually mechanical, hose labeled
More informationLecture 11. Digital Transmission Fundamentals
CS4/MSc Compuer Neworking Lecure 11 Digial Transmission Fundamenals Compuer Neworking, Copyrigh Universiy of Edinburgh 2005 Digial Transmission Fundamenals Neworks consruced ou of Links or ransmission
More informationChapter 2 Summary: Continuous-Wave Modulation. Belkacem Derras
ECEN 44 Communicaion Theory Chaper Summary: Coninuous-Wave Modulaion.1 Modulaion Modulaion is a process in which a parameer of a carrier waveform is varied in accordance wih a given message (baseband)
More informationDigital Encoding And Decoding
Digial Encoding And Decoding Dr. George W Benhien Augus 13, 2007 Revised March 30, 2010 E-mail: george@gbenhien.ne 1 Inroducion Many elecronic communicaion devices oday process and ransfer informaion digially.
More informationExamination Mobile & Wireless Networking ( ) April 12,
Page 1 of 5 Examinaion Mobile & Wireless Neworking (192620010) April 12, 2017 13.45 16.45 Noes: Only he overhead shees used in he course, 2 double-sided shees of noes (any fon size/densiy!), and a dicionary
More informationSolution 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 informationCOMM702: Modulation II
COMM70: Modulaion II Leure 4 - Coheren and non-oheren inary pass-and daa ransmission Binary Digial Modulaion Sinusoidal Carrier Digial Message ASK FSK PSK Parameers o Digial Pass-and ransmission Proailiy
More informationLecture #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 informationECMA 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 informationCommunication Systems. Communication Systems
Communicaion Sysems Analog communicaion Transmi and receive analog waveforms Ampliude Modulaion (AM Phase Modulaion (PM Freq. Modulaion (FM Quadraure Ampliude Modulaion (QAM Pulse Ampliude Modulaion (PAM
More informationDigital Communications: An Overview of Fundamentals
IMPERIAL COLLEGE LONDON DEPARTMENT of ELECTRICAL and ELECTRONIC ENGINEERING. COMPACT LECTURE NOTES on COMMUNICATION THEORY. Prof. Ahanassios Manikas, version Auumn 2008 Digial Communicaions: An Overview
More informationChapter 3. in this forward looking imaging sonar is chirp based. A chirp is a signal in which the
Chaer 3 Performance Analysis of Chir Technology Sonar mouned on AUV 3.1 Inroducion Real ime underwaer environmen evaluaion and collision avoidance of Auonomous underwaer vehicle (AUV) wih he floaing or
More informationCommunications II Lecture 5: Effects of Noise on FM. Professor Kin K. Leung EEE and Computing Departments Imperial College London Copyright reserved
Communicaions II Lecure 5: Eecs o Noise on FM Proessor Kin K. Leung EEE and Compuing Deparmens Imperial College London Copyrigh reserved Ouline Recap o FM FM sysem model in noise Derivaion o oupu SNR Pre/de-emphasis
More informationMobile Communications Chapter 2: Wireless Transmission
This book ocuses on higher layer aspecs o mobile communicaions, he compuer science elemens raher han on he radio and ransmission aspecs, he elecrical engineering par. This chaper inroduces only hose undamenal
More informationf t 2cos 2 Modulator Figure 21: DSB-SC modulation.
4.5 Ampliude modulaion: AM 4.55. DSB-SC ampliude modulaion (which is summarized in Figure 21) is easy o undersand and analyze in boh ime and frequency domains. However, analyical simpliciy is no always
More informationNegative 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 informationCommunications 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 informationEE (082) Chapter IV: Angle Modulation Lecture 19 Dr. Wajih Abu-Al-Saud
EE 370-3 (082) Chaer IV: Angle Modulaion Lecure 19 Dr. Wajih Abu-Al-Saud Wideband and PM For he signal shown below, he value o k ay no saisy he condiion k 1, and hereore he aroxiaion used in narrowband
More informationNoise properties in the ideal Kirchhoff-Law-Johnson-Noise. secure communication system
Noise roeries in he ideal Kirchhoff-aw-Johnson-Noise secure communicaion sysem Zolan Gingl and ober Mingesz Dearmen of Technical Informaics, Universiy of Szeged, ungary bsrac In his aer we deermine he
More informationChapter 2 Design of LCL Filter
Chaer Design of LCL Filer Absrac As he inerface beween renewable energy ower generaion sysem and he ower grid, he grid-conneced inverer is used o conver he dc ower o he high-qualiy ac ower and feed i ino
More informationName Class Date. Angles Formed by Parallel Lines and Transversals Going Deeper. Introducing Transversals t
Name Class Dae 3-2 Angles Formed by Parallel Lines and Transversals Going Deeer Essenial uesion: How can you rove and use heorems abou angles formed by ransversals ha inersec arallel lines? 1 G-CO.3.9
More informationQuestion 1 TELE4353. Average Delay Spread. RMS Delay Spread = = Channel response (2) Channel response (1)
ELE4353 Mobile and Saellie Communicaion Syem uorial 3 (wee 7-8 S 4 Queion If a paricular modulaion provide uiable ER performance whenever σ /
More informationLab 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 informationECMA-373. Near Field Communication Wired Interface (NFC-WI) 2 nd Edition / June Reference number ECMA-123:2009
ECMA-373 2 nd Ediion / June 2012 Near Field Communicaion Wired Inerface (NFC-WI) Reference number ECMA-123:2009 Ecma Inernaional 2009 COPYRIGHT PROTECTED DOCUMENT Ecma Inernaional 2012 Conens Page 1 Scope...
More informationMarch 13, 2009 CHAPTER 3: PARTIAL DERIVATIVES AND DIFFERENTIATION
March 13, 2009 CHAPTER 3: PARTIAL DERIVATIVES AND DIFFERENTIATION 1. Parial Derivaives and Differeniable funcions In all his chaper, D will denoe an open subse of R n. Definiion 1.1. Consider a funcion
More informationWrap Up. Fourier Transform Sampling, Modulation, Filtering Noise and the Digital Abstraction Binary signaling model and Shannon Capacity
Wrap Up Fourier ransorm Sampling, Modulaion, Filering Noise and he Digial Absracion Binary signaling model and Shannon Capaciy Copyrigh 27 by M.H. Perro All righs reserved. M.H. Perro 27 Wrap Up, Slide
More informationEND-OF-YEAR EXAMINATIONS ELEC321 Communication Systems (D2) Friday, 19 November 2004, 9:20 a.m. Three hours plus 10 minutes reading time.
END-OF-YEAR EXAMINATIONS 2004 Uni: Day and Time: Time Allowed: ELEC32 Communiaion Sysems (D2) Friday, 9 November 2004, 9:20 a.m. Three hours plus 0 minues reading ime. Toal Number of Quesions: SIX (6)
More informationSignal Characteristics
Signal Characerisics Analog Signals Analog signals are always coninuous (here are no ime gaps). The signal is of infinie resoluion. Discree Time Signals SignalCharacerisics.docx 8/28/08 10:41 AM Page 1
More informationExample Message bandwidth and the transmitted signal bandwidth
4.6 Bandwidh-Eiien Modulaions 4.74. We are now going o deine a quaniy alled he bandwidh o a signal. Unorunaely, in praie, here isn jus one deiniion o bandwidh. Deiniion 4.75. The bandwidh (BW) o a signal
More informationA WIDEBAND RADIO CHANNEL MODEL FOR SIMULATION OF CHAOTIC COMMUNICATION SYSTEMS
A WIDEBAND RADIO CHANNEL MODEL FOR SIMULATION OF CHAOTIC COMMUNICATION SYSTEMS Kalle Rui, Mauri Honanen, Michael Hall, Timo Korhonen, Veio Porra Insiue of Radio Communicaions, Helsini Universiy of Technology
More informationPerformance Analysis of High-Rate Full-Diversity Space Time Frequency/Space Frequency Codes for Multiuser MIMO-OFDM
Performance Analysis of High-Rae Full-Diversiy Space Time Frequency/Space Frequency Codes for Muliuser MIMO-OFDM R. SHELIM, M.A. MATIN AND A.U.ALAM Deparmen of Elecrical Engineering and Compuer Science
More information7 th International Conference on DEVELOPMENT AND APPLICATION SYSTEMS S u c e a v a, R o m a n i a, M a y 27 29,
7 h Inernaional Conference on DEVEOPMENT AND APPICATION SYSTEMS S u c e a v a, o m a n i a, M a y 27 29, 2 0 0 4 THEE-PHASE AC CHOPPE WITH IGBT s Ovidiu USAU 1, Mihai UCANU, Crisian AGHION, iviu TIGAEU
More informationChapter 4: Angle Modulation
Tes 2 Review Tes 2 Review Professor Deepa Kundur Universiy of Torono Reference: Secions: 4.1, 4.2, 4.3, 4.4, 4.6, 4.7, 4.8 of 5.1, 5.2, 5.3, 5.4, 5.5 6.1, 6.2, 6.3, 6.4, 6.5, 6.6 S. Haykin and M. Moher,
More informationChapter 4: Angle Modulation
Tes 2 Review Tes 2 Review Professor Deepa Kundur Universiy of Torono Reference: Secions: 4.1, 4.2, 4.3, 4.4, 4.6, 4.7, 4.8 of 5.1, 5.2, 5.3, 5.4, 5.5 6.1, 6.2, 6.3, 6.4, 6.5, 6.6 S. Haykin and M. Moher,
More informationOptical Short Pulse Generation and Measurement Based on Fiber Polarization Effects
Opical Shor Pulse Generaion and Measuremen Based on Fiber Polarizaion Effecs Changyuan Yu Deparmen of Elecrical & Compuer Engineering, Naional Universiy of Singapore, Singapore, 117576 A*STAR Insiue for
More informationL A-B-C dei Segnali Spread-Spectrum
L A-B-C dei Segnali Spread-Specrum Marco Luise Universiy of Pisa, Ialy Diparimeno Ingegneria dell Informazione hp://www.ie.unipi.i/m.luise PAM Signal +A -A s() a 0 a 1 a 2 a 3 a 4 {a k }=+1 Binary Symbols
More informationPower losses in pulsed voltage source inverters/rectifiers with sinusoidal currents
ree-wheeling diode Turn-off power dissipaion: off/d = f s * E off/d (v d, i LL, T j/d ) orward power dissipaion: fw/t = 1 T T 1 v () i () d Neglecing he load curren ripple will resul in: fw/d = i Lavg
More informationMulticarrier-Based QAPM Modulation System for the Low Power Consumption and High Data Rates
Mobile New Appl (202) 7:45 52 DOI 0.007/s036-0-0308-4 Mulicarrier-Based QAPM Modulaion Sysem for he Low Power Consumpion and High Daa Raes Jae-Hoon Choi & Heung-Gyoon Ryu & Xuedong Liang Published online:
More informationMATLAB/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 informationICT 5305 Mobile Communications
ICT 5305 Mobile Communicaions Lecure - 2 April 2016 Dr. Hossen Asiful Musafa 2.1 Frequencies for communicaion VLF = Very Low Frequency LF = Low Frequency MF = Medium Frequency HF = High Frequency VHF =
More informationAnnouncement. Allowed
9//05 nnouncemen Firs es: Sep. 8, Chap. -4 llowed wriing insrumen poce calculaor ruler One 8.5" " paper conaining consans, formulas, and any oher informaion ha you migh find useful (NOT any inds of soluions).
More informationCHAPTER CONTENTS. Notes. 9.0 Line Coding. 9.1 Binary Line Codes
Noes CHAPTER CONTENTS 9. Line Coding 9. inary Line Codes 9. ipolar and iphase Line Codes 9.. AMI 9... inary N Zero Subsiuion 9..3 lock Line Codes 9.3 M-ary Correlaion Codes 9.3. Q 9.3. Correlaion Coding
More informationDouble Tangent Sampling Method for Sinusoidal Pulse Width Modulation
Compuaional and Applied Mahemaics Journal 2018; 4(1): 8-14 hp://www.aasci.org/journal/camj ISS: 2381-1218 (Prin); ISS: 2381-1226 (Online) Double Tangen Sampling Mehod for Sinusoidal Pulse Widh Modulaion
More informationLecture 5: DC-DC Conversion
1 / 31 Lecure 5: DC-DC Conversion ELEC-E845 Elecric Drives (5 ECTS) Mikko Rouimo (lecurer), Marko Hinkkanen (slides) Auumn 217 2 / 31 Learning Oucomes Afer his lecure and exercises you will be able o:
More informationEXPERIMENT #4 AM MODULATOR AND POWER AMPLIFIER
EXPERIMENT #4 AM MODULATOR AND POWER AMPLIFIER INTRODUCTION: Being able o ransmi a radio frequency carrier across space is of no use unless we can place informaion or inelligence upon i. This las ransmier
More information4.5 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 informationECE-517 Reinforcement Learning in Artificial Intelligence
ECE-517 Reinforcemen Learning in Arificial Inelligence Lecure 11: Temporal Difference Learning (con.), Eligibiliy Traces Ocober 8, 2015 Dr. Iamar Arel College of Engineering Deparmen of Elecrical Engineering
More informationChannel Estimation for Wired MIMO Communication Systems
Channel Esimaion for Wired MIMO Communicaion Sysems Final Repor Mulidimensional DSP Projec, Spring 2005 Daifeng Wang Absrac This repor addresses raining-based channel modeling and esimaion for a wired
More information6.003: Signals and Systems
6.3: Signals and Sysems Lecure 4 March 3, 6.3: Signals and Sysems Fourier Represenaions Mid-erm Examinaion # Wednesday, April 7, 7:3-9:3pm. No reciaions on he day of he exam. Coverage: Lecures 5 Reciaions
More informationSignal detection, Fouriertransformation, phase correction and quadrature detection
2/35 Signal deecion, Fourierransformaion, phase correcion and quadraure deecion Peer Schmieder Schmilka 2004 Wha is his seminar abou? Signaldeecion Wha kind of signal do we deec in NMR Fourierransformaion
More information4 20mA Interface-IC AM462 for industrial µ-processor applications
Because of he grea number of indusrial buses now available he majoriy of indusrial measuremen echnology applicaions sill calls for he sandard analog curren nework. The reason for his lies in he fac ha
More informationTransmit Beamforming with Reduced Feedback Information in OFDM Based Wireless Systems
Transmi Beamforming wih educed Feedback Informaion in OFDM Based Wireless Sysems Seung-Hyeon Yang, Jae-Yun Ko, and Yong-Hwan Lee School of Elecrical Engineering and INMC, Seoul Naional Universiy Kwanak
More informationPointwise 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 informationUsually use an op-amp circuit Often found as a pre-amplifier to ADC circuitry Simple circuit to computer natural logarithm
Connecing he compuaion capabiliies of a microconroller o exernal signals Transforming variable values ino volages and vice-versa Digial and analog Issues How many signals can be conrolled? How can digial
More informationECS455: Chapter 4 Multiple Access
Spread specrum (SS) ECS455: Chaper 4 Muliple Access Dr.Prapun Suksompong prapun.com/ecs455 4.3 DS/SS Oice Hours: BKD, 6h loor o Sirindhralai building Tuesday 4:20-5:20 Wednesday 4:20-5:20 Friday 9:5-0:5
More informationCommunication Systems. Department of Electronics and Electrical Engineering
COMM 704: Communicaion Lecure : Analog Mulipliers Dr Mohamed Abd El Ghany Dr. Mohamed Abd El Ghany, Mohamed.abdel-ghany@guc.edu.eg nroducion Nonlinear operaions on coninuous-valued analog signals are ofen
More informationEECE 301 Signals & Systems Prof. Mark Fowler
EECE 301 s & Sysems Prof. Mark Fowler Noe Se #1 Wha is s & Sysems all abou??? 1/9 Do All EE s & CoE s Design Circuis? No!!!! Someone has o figure ou wha funcion hose circuis need o do Someone also needs
More information5 Spatial Relations on Lines
5 Spaial Relaions on Lines There are number of useful problems ha can be solved wih he basic consrucion echniques developed hus far. We now look a cerain problems, which involve spaial relaionships beween
More informationTiming Skew Compensation Technique Using Digital Filter with Novel Linear Phase Condition
Timing Skew Compensaion Technique Using Digial Filer wih Novel Linear Phase Condiion Koji Asami Advanes Corporaion Hiroyuki Miyajima, uyoshi Kurosawa, Takenori Taeiwa, Haruo Kobayashi Gunma Universiy 1
More informationREADING ASSIGNMENTS LECTURE OBJECTIVES. Problem Solving Skills. x(t) = cos(αt 2 ) ELEG-212 Signal Processing and Communications
ELEG- Signal Processing and Communicaions Lecure 5 Periodic Signals, Harmonics & ime-varying Sinusoids READING ASSIGNMENS his Lecure: Chaper 3, Secions 3- and 3-3 Chaper 3, Secions 3-7 and 3-8 Lab sars
More information10. 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 informationEXPERIMENT #9 FIBER OPTIC COMMUNICATIONS LINK
EXPERIMENT #9 FIBER OPTIC COMMUNICATIONS LINK INTRODUCTION: Much of daa communicaions is concerned wih sending digial informaion hrough sysems ha normally only pass analog signals. A elephone line is such
More informationThe 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 informationMemorandum 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 informationKey Issue. 3. Media Access. Hidden and Exposed Terminals. Near and Far Terminals. FDD/FDMA General Scheme, Example GSM. Access Methods SDMA/FDMA/TDMA
Key Issue Can we apply media access mehods from fixed neworks? 3. Media Access SDMA, FDMA, TDMA Aloha and Reservaion Schemes Avoidance and Polling MACA, CDMA, SAMA Example CSMA/CD: Carrier Sense Muliple
More informationGenerating Polar Modulation with R&S SMU200A
Rohde & Schwarz producs: SMU00 Generaing Polar Modulaion wih R&S SMU00 Polar modulaion is a mehod where digial modulaion is realized as a combinaion of phase and ampliude modulaion, raher han using an
More informationOrthogonal Space-Time Discrete Multitone and Space-Time Filtered Multitone Coded Architectures
Orhogonal Sace-ime Discree ulione and Sace-ime Filered ulione Coded Archiecures Andrea onello DIEG - Diarimeno di Ingegneria Elerica, Gesionale e eccanica Universià di Udine 33 Udine, Ialy - e-mail: onello@uniudi
More informationEE 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 informationTest 1 Review. Test 1 Review. Communication Systems: Foundational Theories. Communication System. Reference: Sections and
Tes 1 Review Tes 1 Review Proessor Deepa Kundur Universiy o Torono Reerence: Secions 2.2-2.7 and 3.1-3.6 o S. Haykin and M. Moher, Inroducion o Analog & Digial Communicaions, 2nd ed., John iley & Sons,
More informationEE558 - Digital Communications
EE558 - Digial Communicaions Lecure 1: Inroducion & Overview Dr. Duy Nguyen Ouline 1 Course Informaion 2 Inroducion o Digial Communicaions Course Informaion 2 Adminisraion Hours and Locaion Lecures: TTH
More informationTechnology 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 informationTHE OSCILLOSCOPE AND NOISE. Objectives:
-26- Preparaory Quesions. Go o he Web page hp://www.ek.com/measuremen/app_noes/xyzs/ and read a leas he firs four subsecions of he secion on Trigger Conrols (which iself is a subsecion of he secion The
More informationCoexistence of Ultra-Wideband Systems with IEEE a Wireless LANs
Coexisence of Ulra-Wideband Sysems wih IEEE-8.11a Wireless LANs J. Bellorado 1, S.S. Ghassemzadeh, L. J. Greensein 3, T. Sveinsson 1, V. Tarokh 1 Absrac In his sudy we provide a physical layer based analysis
More informationECEN325: Electronics Spring 2017
ECEN325: Elecronics Srg 207 Semiconducor n Juncion Diode Sam alermo Analog & Mixed-Signal Cener Texas A&M Universiy Announcemens & eadg HW5 due Mar. 9 azavi Ch2 (oional) Basic semiconducor device hysics,
More informationProblem Sheet: Communication Channels Communication Systems
Problem Shee: Communicaion Channels Communicaion Sysems Professor A. Manikas Chair of Communicaions and Array Processing Deparmen of Elecrical & Elecronic Engineering Imperial College London v.11 Communicaion
More information6.003: Signals and Systems Lecture 24 May 6, 2010
6.3: Signals and Sysems Lecure 24 May 6, 2 6.3: Signals and Sysems Course VI Underground Guide Modulaion Please give us and fuure sudens feedbac on 6.3 by paricipaing in he Course VI Underground Guide
More informationMobile Communications Chapter 3 : Media Access
Moivaion Can we apply media access mehods from fixed neworks? Mobile Communicaions Chaper 3 : Media Access Moivaion SDMA, FDMA, TDMA Aloha Reservaion schemes Collision avoidance, MACA Polling CDMA SAMA
More informationDesign and Simulation of Remotely Power Controller
Inernaional Journal of Alied Engineering Research ISSN 973-456 olume 1, Number 1 (15. 369-366 Research India Publicaions h://www.riublicaion.com Design and Simulaion of Remoely Power Conroller Hussain
More informationThe student will create simulations of vertical components of circular and harmonic motion on GX.
Learning Objecives Circular and Harmonic Moion (Verical Transformaions: Sine curve) Algebra ; Pre-Calculus Time required: 10 150 min. The sudens will apply combined verical ranslaions and dilaions in he
More informationweight: 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 informationAngle Modulation (Phase & Frequency Modulation) EE442 Lecture 8. Spring 2017
Angle Modulaion (Phase & Frequency Modulaion) EE442 Lecure 8 Spring 2017 1 Ampliude, Frequency and Phase Modulaion Wih ew excepions, Phase Modulaion (PM) is used primarily in digial communicaion 2 Why
More informationMEASUREMENTS OF VARYING VOLTAGES
MEASUREMENTS OF ARYING OLTAGES Measuremens of varying volages are commonly done wih an oscilloscope. The oscilloscope displays a plo (graph) of volage versus imes. This is done by deflecing a sream of
More information6.976 High Speed Communication Circuits and Systems Lecture 19 Basics of Wireless Communication
6.976 High Speed Communicaion Circuis and Sysems Lecure 9 Basics o Wireless Communicaion Michael Perro Massachuses Insiue o Technology Copyrigh 23 by Michael H. Perro Ampliude Modulaion (Transmier) Transmier
More informationSound. Audio DSP. Sinusoids and Sound: Amplitude. Sound Volume
Sound Ampliude and Loudness Audio DSP Dr. Deepa Kundur Universiy of Torono Sound: vibraion ransmied hrough a medium (gas, liquid, solid and plasma) composed of frequencies capable of being deeced by ears.
More informationSimulation Series Termination
ESE370: Circui-Level Modeling, Design, and Opimizaion for Digial Sysems Day 35: December 5, 2012 Transmission Lines Implicaions 1 Transmission Line Agenda Where arise? General wire formulaion Lossless
More information