Multipath. Introduction. Theory. Multipath 7.1

Size: px
Start display at page:

Download "Multipath. Introduction. Theory. Multipath 7.1"

Transcription

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 loss wi disance. Anoer is e presence o muliple propagaion pas beween ransmier and receiver a produce ecoes o e ransmied signal in e received signal. Tis penomenon is called mulipa. Inererence beween mulipa signals can resul in ading. We ll cover ading in e nex lesson. Teory Consider an environmen lie a diagrammed in Figure 7. in wic ere exis objecs capable o relecing radio waves. Figure 7.. In e presence o relecing objecs ere can be many pas beween wo radios, eac aving a dieren propagaion disance. Te siuaion sown mig represen a op view o wo radios on eier side o a sree lined wi buildings. Maxwell s equaions are linear. I noing in e environmen is moving or oerwise canging wi ime en we ave a linear, ime-invarian sysem. For suc sysems e impulse response and ranser uncion conceps are applicable and generally very useul. Le s ae our sysem inpu o be e ransmied signal and e oupu o be e received signal. Concepually we could ransmi an elecromagneic impulse. Te impulse would ravel along e various pas rom ransmier o receiver. Te pa would produce a received impulse aer a ime delay. Due o e disance raveled and e ineracion wi relecing objecs, i will ave some ampliude a. Tereore e oal received ield, wic is e impulse response o e ransmier-receiver sysem will be N 0 ( ) a ( ) (7.) EE43: RF Engineering or Telecommunicaions Sco Hudson, Wasingon Sae Universiy 05//7

2 Mulipa 7. Te ranser uncion or requency response o e sysem is e Laplace ransorm o is evaluaed a s j j. H ( ) 0 ( ) e N 0 a e j j d (7.) Tis is a sum o pasors. For cerain requencies e pasors mig be in pase and add up o a large response. For oer requencies ey mig add ou o pase and give a low response. We see a e eec o mulipa is o creae a response a varies wi requency a ype o requency selecive iler. Mulipa Saisics Aloug in principle e impulse response is compleely deermined by e propagaion environmen, in pracice is environmen is so complex a we are inclined o rea e impulse response as a random process. Random processes are ypically caracerized by eir momens. Te irs and second momens are N a 0 N a 0 N a 0 N a 0 (7.3) (Because e a s represen volages we square em o ge power.) Te irs momen is jus e average ime o arrival. Te irs and second momens can be combined o ge e roo-meansquare delay spread: (7.4) I we coninued o calculae iger-order momens we would ge an increasingly accurae descripion o e impulse response. However, even wo momens provides us wi useul inormaion, namely, e average ime o arrival and e ime spread o e mulipas. One uncion a is compleely deermined by is irs wo momens is e Gaussian. So by sopping a e irs wo momens o () we are eecively modeling i as an equivalen Gaussian wi mean and variance. EE43: RF Engineering or Telecommunicaions Sco Hudson, Wasingon Sae Universiy 05//7

3 Mulipa 7.3 Consider a Gaussian uncion a () wi variance, and le s coose a ime origin so a e mean is zero. Te specrum o a Gaussian is also Gaussian: a( ) e A( ) e (7.5) Te specrum is down o ½ is pea value wen e /. Solving or e requency we ind / 5. We can ae is as e bandwid o e Gaussian. We will use is o deine e coerence bandwid o e impulse response: B c 5 (7.6) Te coerence bandwid speciies e minimum requency deviaion over wic e ranser uncion can cange signiicanly. In oer words, i wo signals dier in requency by muc less an Bc en ey experience essenially e same response roug e pysical cannel. I wo signals dier by muc more an Bc en ey may experience compleely dieren responses. Te relaion beween e signal bandwid B and e coerence bandwid o e pysical cannel Bc is imporan. I B Bc en all requency componens in e signal are essenially modiied in e same manner, and e received signal is simply a ime-delayed and aenuaed version o e ransmied signal. In eec e cannel is simply an aenuaor. Tis is reerred o as la ading. On e oer and i B c B en dieren requency componens are modiied dierenly by e cannel, and e received signal can be seriously disored. In eec e cannel is en a iler wi some complicaed ranser uncion. Tis is reerred o as requency selecive ading. In is case we oen mus ae seps o undo e disorion inroduced by e pysical cannel. Some ways o do is are roug e use o equalizers, or, in CDMA sysems, rae ilers. Bu, more abou a laer. Example 7. Assume N 0 ( ) a ( ) wi a 0, 0 0s, a 0.5, 0 s a 0.5,. 5s. Ten, () (0) (0.5) () (0.5) (.5) s 0.6s () (0.5) (0.5) () (0) (0.5) () (0.5) (.5) () (0.5) (0.5) s 0.98s so s and B c 0. 48MHz. EE43: RF Engineering or Telecommunicaions Sco Hudson, Wasingon Sae Universiy 05//7

4 Mulipa 7.4 Simulaion Figure 7. sows a Macad program a simulaes a cannel in wic ere is a direc pa and our oer mulipas wi random imes o arrival spread over abou 00 ns and random ampliudes. You can see rom e plo a e requency response varies quie erraically over e 00 MHz bandwid sown. Dieren radio cannels in is bandwid mig experience as muc as a 30-dB dierence in ading response. Te coerence bandwid comes ou a a lile more an 0 MHz. You can see rom e plo a is is rougly e caracerisic wid o e bumps in e requency response. number o mulipas N 4 0 N maximum delay ime random ime delays and ampliudes ma x rnd ma x a rnd( ) a 0 requency response a a H( ) a a a e j B 5 B response (db) requency (MHz) Figure 7.. Simulaion o requency response in a mulipa environmen. A direc pa and our mulipas wi random EE43: RF Engineering or Telecommunicaions Sco Hudson, Wasingon Sae Universiy 05//7

5 Mulipa 7.5 Experimen ampliudes and ime delays beween 0 and 0.s inerere o creae is response. A newor analyzer was used o measure () and H () in a laboraory in e EME building a WSU. Te requency band was 700 o 000 MHz resuling in -m resoluion. Figures sow some resuls. Figure 7.3: Impulse and requency responses wen anennas are nex o eac oer. Te roll-o in requency response is primarily due o anenna resonance. EE43: RF Engineering or Telecommunicaions Sco Hudson, Wasingon Sae Universiy 05//7

6 Mulipa 7.6 Figure 7.4: Responses or anennas separaed by abou 0 and aving a clear line-o-sig pa beween em. Figure 7.5: Responses or anennas separaed by abou 30 and no line-o-sig pa beween em. From e above measuremens we can see a, even wi e ransmier and receiver in e same room, we can ge a very complicaed requency response. I you measured e requency response o a coaxial cable and saw someing lie is, you d ge a new cable. Bu in a wireless EE43: RF Engineering or Telecommunicaions Sco Hudson, Wasingon Sae Universiy 05//7

7 Mulipa 7.7 environmen is is e ype o pysical cannel we are suc wi. In ac, i ges worse, because as soon as e receiver sars o move, e.g., a mobile pone, is ugly requency response can rapidly cange in an essenially random manner. Our wireless communicaion sysems mus, ereore, be designed o uncion under suc non-ideal circumsances. Reerences. Rappapor, T. S., Wireless Communicaions: Principles and Pracice, Prenice Hall, 996, ISBN EE43: RF Engineering or Telecommunicaions Sco Hudson, Wasingon Sae Universiy 05//7

Wrap Up. Fourier Transform Sampling, Modulation, Filtering Noise and the Digital Abstraction Binary signaling model and Shannon Capacity

Wrap 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 information

Communications II Lecture 5: Effects of Noise on FM. Professor Kin K. Leung EEE and Computing Departments Imperial College London Copyright reserved

Communications 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 information

Harlow, Essex, CM17 9NA

Harlow, Essex, CM17 9NA Preliminary Discussion on Taped-Delay-Line Based MIMO Cannel Model Documen Number: Dae Submied: 006-07- Source: Dean Kicener, Mark Naden Voice: +44 79 408 Norel Fax: +44 79 4000 London Road E-mail: deank@norel.com

More information

ECE ANALOG COMMUNICATIONS - INVESTIGATION 7 INTRODUCTION TO AMPLITUDE MODULATION - PART II

ECE 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 information

Test 1 Review. Test 1 Review. Communication Systems: Foundational Theories. Communication System. Reference: Sections and

Test 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 information

The Comparisonal Analysis of the Concept of Rectangular and Hexagonal Pilot in OFDM

The Comparisonal Analysis of the Concept of Rectangular and Hexagonal Pilot in OFDM Communicaions and ework, 2009, 01-05 doi:10.4236/cn.2009.11001 Published Online Augus 2009 (hp://www.scirp.org/journal/cn) The Comparisonal Analysis o he Concep o Recangular and Hexagonal Pilo in OFDM

More information

Signals and the frequency domain ENGR 40M lecture notes July 31, 2017 Chuan-Zheng Lee, Stanford University

Signals and the frequency domain ENGR 40M lecture notes July 31, 2017 Chuan-Zheng Lee, Stanford University Signals and he requency domain ENGR 40M lecure noes July 3, 07 Chuan-Zheng Lee, Sanord Universiy signal is a uncion, in he mahemaical sense, normally a uncion o ime. We oen reer o uncions as signals o

More information

6.976 High Speed Communication Circuits and Systems Lecture 19 Basics of Wireless Communication

6.976 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 information

Passband Data Transmission II References Frequency-shift keying Chapter 6.5, S. Haykin, Communication Systems, Wiley. H.1

Passband 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 information

Deblurring Images via Partial Differential Equations

Deblurring Images via Partial Differential Equations Deblurring Images via Parial Dierenial Equaions Sirisha L. Kala Mississippi Sae Universiy slk3@mssae.edu Advisor: Seh F. Oppenheimer Absrac: Image deblurring is one o he undamenal problems in he ield o

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

Mobile Communications Chapter 2: Wireless Transmission

Mobile 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 information

Chapter 2: Fourier Representation of Signals and Systems

Chapter 2: Fourier Representation of Signals and Systems Tes 1 Review Tes 1 Review Proessor Deepa Kundur Universiy o Torono Reerence: Secions: 2.1, 2.2, 2.3, 2.4, 2.5, 2.6, 2.7 3.1, 3.2, 3.3, 3.4, 3.5, 3.6 o S. Haykin and M. Moher, Inroducion o Analog & Digial

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

Introduction: Analog Communication: Goal: Transmit a message from one location to another.

Introduction: Analog Communication: Goal: Transmit a message from one location to another. ECE-5 Phil Schnier January 6, 8 Inroducion: Goal: Transmi a rom one locaion o anoher When is coninuous waveorm analog comm (eg, FM radio), sequence o numbers digial comm (eg, mp ile), hough he sequence

More information

A FMCW-FSK Combined Waveform for Multi-Target Detection in FMCW Radar

A FMCW-FSK Combined Waveform for Multi-Target Detection in FMCW Radar 217 2 n Inernaional Conerence on Compuer Engineering, Inormaion Science an Inerne Technology (CII 217) ISBN: 978-1-6595-54-9 A FMCW-FSK Combine Waveorm or Muli-Targe Deecion in FMCW Raar TAO SHEN, WENQUAN

More information

Principles of Communications Lecture 4: Analog Modulation Techniques (2) Chih-Wei Liu 劉志尉 National Chiao Tung University

Principles of Communications Lecture 4: Analog Modulation Techniques (2) Chih-Wei Liu 劉志尉 National Chiao Tung University Principles o Communicaions Lecure 4: Analog Modulaion Techniques Chih-Wei Liu 劉志尉 Naional Chiao Tung Universiy cwliu@wins.ee.ncu.edu.w Oulines Linear Modulaion Angle Modulaion Inererence Feedback Demodulaors

More information

Signals and communications fundamentals

Signals and communications fundamentals Signals and communicaions undamenals Luca Reggiani luca.reggiani@polimi.i hp://home.dei.polimi.i/reggiani/ Diparimeno di Eleronica, Inormazione e Bioingegneria Poliecnico di Milano Signals and communicaions

More information

60 GHz FMCW Radar System with High Distance and Doppler Resolution and Accuracy

60 GHz FMCW Radar System with High Distance and Doppler Resolution and Accuracy Deparmen o Elecrical Engineering Sudenenadminisraie Den Dolech, 56 AZ Eindhoven.O. Box 53, 56 MB Eindhoven The eherlands hp://w3.ele.ue.nl/nl/ Auhor Li Wang Order issuer ro. Balus Group/Chair: Mixed-signal

More information

ECS455: Chapter 4 Multiple Access

ECS455: 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 information

LECTURE 1 CMOS PHASE LOCKED LOOPS

LECTURE 1 CMOS PHASE LOCKED LOOPS Lecure 01 (8/9/18) Page 1-1 Objecive LECTURE 1 CMOS PHASE LOCKED LOOPS OVERVIEW Undersand he principles and applicaions of phase locked loops using inegraed circui echnology wih emphasis on CMOS echnology.

More information

Lecture 12: Modulation Techniques for Mobile Radio. Amplitude Modulation (Full AM or Double Sideband with Carrier)

Lecture 12: Modulation Techniques for Mobile Radio. Amplitude Modulation (Full AM or Double Sideband with Carrier) EE 499: Wireless & Mobile Communiaions (08) Leure : Modulaion Tehniques or Mobile Radio Dr. Wajih. bu-l-saud mpliude Modulaion Tehniques mpliude Modulaion (Full M or Double Sideband wih Carrier) The general

More information

EECE 301 Signals & Systems Prof. Mark Fowler

EECE 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 information

SIGNALS AND SYSTEMS LABORATORY 10: Sampling, Reconstruction, and Rate Conversion

SIGNALS AND SYSTEMS LABORATORY 10: Sampling, Reconstruction, and Rate Conversion SIGNALS AND SYSTEMS LABORATORY : Sampling, Reconsrucion, and Rae Conversion INTRODUCTION Digial signal processing is preerred over analog signal processing when i is easible. Is advanages are ha he qualiy

More information

Investigation and Simulation Model Results of High Density Wireless Power Harvesting and Transfer Method

Investigation and Simulation Model Results of High Density Wireless Power Harvesting and Transfer Method Invesigaion and Simulaion Model Resuls of High Densiy Wireless Power Harvesing and Transfer Mehod Jaber A. Abu Qahouq, Senior Member, IEEE, and Zhigang Dang The Universiy of Alabama Deparmen of Elecrical

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

EXPERIMENT #9 FIBER OPTIC COMMUNICATIONS LINK

EXPERIMENT #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 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

Experimental Study of Incoming Waves Separating Adaptive Array for ISDB-T Mobile Reception

Experimental Study of Incoming Waves Separating Adaptive Array for ISDB-T Mobile Reception is aricle as been acceped and publised on J-SAGE in advance of copyediing. Conen is final as presened. IEICE Communicaions Express, Vol.1, 1 6 Experimenal Sudy of Incoming Waves Separaing Adapive Array

More information

Continuous Transmission Frequency Modulation Detection under Variable Sonar-Target Speed Conditions

Continuous Transmission Frequency Modulation Detection under Variable Sonar-Target Speed Conditions Sensors 3, 3, 3549-3567; doi:.339/s333549 Aricle OPEN ACCESS sensors ISSN 44-8 www.mdpi.com/journal/sensors Coninuous Transmission Frequency Modulaion Deecion under Variable Sonar-Targe Speed Condiions

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

Example Message bandwidth and the transmitted signal bandwidth

Example 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 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

Ultrawideband Normalized Radar Cross Sections of Distributed Clutter

Ultrawideband Normalized Radar Cross Sections of Distributed Clutter Ulrawideband Normalized Radar Cross Secions o Disribued Cluer Ram M. Narayanan Deparmen o Elecrical Engineering The Pennsylvania Sae Universiy Universiy Park, PA 68, USA ram@engr.psu.edu Absrac Theoreical

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

How to Shorten First Order Unit Testing Time. Piotr Mróz 1

How to Shorten First Order Unit Testing Time. Piotr Mróz 1 How o Shoren Firs Order Uni Tesing Time Pior Mróz 1 1 Universiy of Zielona Góra, Faculy of Elecrical Engineering, Compuer Science and Telecommunicaions, ul. Podgórna 5, 65-246, Zielona Góra, Poland, phone

More information

High Chopper Frequency Drive of Wound Rotor Induction Motor With a Resistively Loaded Rotor Chopper

High Chopper Frequency Drive of Wound Rotor Induction Motor With a Resistively Loaded Rotor Chopper High Chopper Frequency Drive o Wound Roor Inducion Moor Wih a Resisively Loaded Roor Chopper Hilmi Fadhil Amin Salahaddin Universiy-Erbil Elecrical Enginnering Deparmen hilmi_adhil @yahoo.com ABSTACT This

More information

P. Bruschi: Project guidelines PSM Project guidelines.

P. Bruschi: Project guidelines PSM Project guidelines. Projec guidelines. 1. Rules for he execuion of he projecs Projecs are opional. Their aim is o improve he sudens knowledge of he basic full-cusom design flow. The final score of he exam is no affeced by

More information

Signal Characteristics

Signal 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 information

EEO 401 Digital Signal Processing Prof. Mark Fowler

EEO 401 Digital Signal Processing Prof. Mark Fowler EEO 40 Digial Proceing Pro. Mark Fowler Noe Se #3 Baic Sampling heory Reading Aignmen: Sec. 6. o Proaki & Manolaki /9 Sampling i Key o Much o oday echnology Analog Elecronic ADC DSP Compuer DAC C- C- Syem

More information

ANALOG AND DIGITAL SIGNAL PROCESSING LABORATORY EXPERIMENTS : CHAPTER 3

ANALOG AND DIGITAL SIGNAL PROCESSING LABORATORY EXPERIMENTS : CHAPTER 3 Laboraory # Chap 3 Objecives Linear Sysem Response: general case Undersand he difference and he relaionship beween a sep and impulse response. Deermine he limis of validiy of an approximaed impulse response.

More information

Modulation Introduction

Modulation Introduction Modulaion Inroducion -8 F. Dellsperger Conen. Inroducion o Modulaion.... ccess mehods, bundling o signals... 3. Useul Signal-heory and Mahemaical Mehods... 6.. Classiicaion o signals... 6... Deerminisic

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

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

Angle Modulation (Phase & Frequency Modulation) EE442 Lecture 8. Spring 2017

Angle 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 information

Lecture 11. Digital Transmission Fundamentals

Lecture 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 information

Introduction to OFDM

Introduction to OFDM E225C Lecure 16 OFDM Inroducion EE225C Inroducion o OFDM asic idea» Using a large number o parallel narrow-band subcarriers insead o a single wide-band carrier o ranspor inormaion Advanages» Very easy

More information

UNIT IV DIGITAL MODULATION SCHEME

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 information

Connection. Input II EEx ia IIC without SC red. Composition

Connection. Input II EEx ia IIC without SC red. Composition Sandsill conroller Oupu: relay Connecion Inpu I EEx ia IIC Inpu II EEx ia IIC 1-channel Conrol circui EEx ia IIC Addiional inpu or roaion direcion deecion or sar-up override 2 relay oupus Inpu requency

More information

Grade 8 Math: Final Exam Review Unit 6: Linear Equations and Graphing

Grade 8 Math: Final Exam Review Unit 6: Linear Equations and Graphing Lesson 6.: Solving Equaions Using Models. Use a model o solve each equaion. Verif he soluion. a) 7 = 56 b) 45 = 9 c) = 4 d) 9 =. Use a model o solve each equaion. Verif he soluion. a) 5 + 4 = 44 b) 7 +

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

Direct Analysis of Wave Digital Network of Microstrip Structure with Step Discontinuities

Direct Analysis of Wave Digital Network of Microstrip Structure with Step Discontinuities Direc Analysis of Wave Digial Nework of Microsrip Srucure wih Sep Disconinuiies BILJANA P. SOŠIĆ Faculy of Elecronic Engineering Universiy of Niš Aleksandra Medvedeva 4, Niš SERBIA MIODRAG V. GMIROVIĆ

More information

Exercise 1 Principles of Computer Aided Modeling and Simulation

Exercise 1 Principles of Computer Aided Modeling and Simulation Gdans Universiy o Technology, Faculy o Ocean Engineering and Ship Technology Modeling and Conrol o Dynaic Syses, Laboraory, M. H. Ghaei Eercise Principles o Copuer Aided Modeling and Siulaion OBJECTIVE

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

Examination Mobile & Wireless Networking ( ) April 12,

Examination 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 information

Investigation of Novel Ultrasonic Positioning Method Installed in Sensor Network

Investigation of Novel Ultrasonic Positioning Method Installed in Sensor Network PIERS ONLINE, VOL. 5, NO. 4, 2009 321 Invesigaion of Novel Ulrasonic Posiioning Mehod Insalled in Sensor Nework Misuaka Hikia, Yasushi Hiraizumi, Hiroaki Aoki, Junji Masuda, and Tomoaki Waanabe Faculy

More information

Microwave Transistor Oscillator Design

Microwave Transistor Oscillator Design Tuorial on Modern Ulra Low Noise Microwave Transisor Oscillaor Design olumbia Universiy Sepember, 9 Ulrich L. Rohde, Ph.D.* hairman Synergy Microwave orp. *Prof. of RF ircui and Microwave ircui Design

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

Mobile Communications Chapter 3 : Media Access

Mobile 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 information

Chapter 2 Summary: Continuous-Wave Modulation. Belkacem Derras

Chapter 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 information

Modeling and Prediction of the Wireless Vector Channel Encountered by Smart Antenna Systems

Modeling and Prediction of the Wireless Vector Channel Encountered by Smart Antenna Systems Modeling and Predicion of he Wireless Vecor Channel Encounered by Smar Anenna Sysems Kapil R. Dandekar, Albero Arredondo, Hao Ling and Guanghan Xu A Kalman-filer based, vecor auoregressive (VAR) model

More information

ECE-517 Reinforcement Learning in Artificial Intelligence

ECE-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 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

Chapter 2 Introduction: From Phase-Locked Loop to Costas Loop

Chapter 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 information

Extra Practice 1. Name Date. Lesson 6.1: Solving Equations Using Models

Extra Practice 1. Name Date. Lesson 6.1: Solving Equations Using Models Maser 6.0 Era Pracice Lesson 6.: Solving Equaions Using Models. Use a model o solve each equaion. Verif he soluion. a) 7 = 56 b) 45 = 9 c) = 4 d) 9 =. Use a model o solve each equaion. Verif he soluion.

More information

On Detecting White Space Spectra for Spectral Scavenging in Cognitive Radios fred harris

On Detecting White Space Spectra for Spectral Scavenging in Cognitive Radios fred harris On Deecing Whie Space Specra or Specral Scavenging in Cogniive Radios red harris San Diego Sae Universiy, San Diego, CA 92182, USA Absrac: A primary ask perormed by a Cogniive Radio is ha o specral esimaion

More information

f t 2cos 2 Modulator Figure 21: DSB-SC modulation.

f 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 information

Multiplexing. Structure of the Lecture. Channels. Frequency Multiplexing

Multiplexing. Structure of the Lecture. Channels. Frequency Multiplexing Srucure o he Lecure Muliplexing Chaper Technical Basics: Layer Mehods or Medium Access: Layer Channels in a requency band Saic medium access mehods (Muliplexing) Flexible medium access mehods (Muliple

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

6.776 High Speed Communication Circuits Lecture 17 Noise in Voltage Controlled Oscillators

6.776 High Speed Communication Circuits Lecture 17 Noise in Voltage Controlled Oscillators 6.776 High Speed Communicaion Circuis Lecure 7 Noise in Volage Conrolled Oscillaors Michael Perro Massachuses Insiue o Technology April, 005 Copyrigh 005 by Michael H. Perro VCO Noise in Wireless Sysems

More information

Medical signal processing

Medical signal processing signal is any kd o physical quaniy ha conveys/ ransmis/sores ormaion Medical signal processg eg () elecrical volage, ha can be measured on he surace o he sk/head as a resul o he hear-/muscle-/bra aciviies

More information

EXPERIMENT #4 AM MODULATOR AND POWER AMPLIFIER

EXPERIMENT #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 information

Extra Practice 1. Name Date. Lesson 6.1: Solving Equations Using Models

Extra Practice 1. Name Date. Lesson 6.1: Solving Equations Using Models Name Dae Maser 6.0 Era Pracice Lesson 6.: Solving Equaions Using Models. Use a model o solve each equaion. Verif he soluion. a) 7 = 56 b) 45 = 9 c) = 4 d) 9 =. Use a model o solve each equaion. Verif he

More information

Channel Estimation for Wired MIMO Communication Systems

Channel 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 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

The Cavity Beam Position Monitor (BPM) Massimo Dal Forno

The Cavity Beam Position Monitor (BPM) Massimo Dal Forno The Caviy eam Posiion Monior (PM) Massimo Dal Forno Paolo Craievich, Raffaele De Mone, Thomas orden, Andrea orga, Mauro Predonzani, Mario Ferianis, Robero Vescovo Conens Inroducion: The Caviy PM HFSS Simulaions

More information

A WIDEBAND RADIO CHANNEL MODEL FOR SIMULATION OF CHAOTIC COMMUNICATION SYSTEMS

A 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 information

Medical signal processing

Medical signal processing signal is any kd o physical quaniy ha conveys/ ransmis/sores ormaion Medical signal processg eg () elecrical volage, ha can be measured on he surace o he sk/head as a resul o he hear-/muscle-/bra aciviies

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

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

Experiment 6: Transmission Line Pulse Response

Experiment 6: Transmission Line Pulse Response Eperimen 6: Transmission Line Pulse Response Lossless Disribued Neworks When he ime required for a pulse signal o raverse a circui is on he order of he rise or fall ime of he pulse, i is no longer possible

More information

The Cavity Beam Position Monitor (BPM) Massimo Dal Forno

The Cavity Beam Position Monitor (BPM) Massimo Dal Forno The Caviy eam Posiion Monior (PM) Massimo Dal Forno Paolo Craievich, Raffaele De Mone, Thomas orden, Andrea orga, Mauro Predonzani, Mario Ferianis, Robero Vescovo Conens Inroducion: The Caviy PM HFSS Simulaions

More information

Transmission Lines. Transmission Lines :: Topics. Introduction Wave Propagation Termination Reflections Summary. Introduction.

Transmission Lines. Transmission Lines :: Topics. Introduction Wave Propagation Termination Reflections Summary. Introduction. Transmission Lines Digial Design and Compuer Archiecure David Money Harris and Sarah L. Harris Transmission Lines :: Topics Inroducion Wave Propagaion Terminaion Reflecions Summary TL- TL- Inroducion

More information

Pulse Train Controlled PCCM Buck-Boost Converter Ming Qina, Fangfang Lib

Pulse Train Controlled PCCM Buck-Boost Converter Ming Qina, Fangfang Lib 5h Inernaional Conference on Environmen, Maerials, Chemisry and Power Elecronics (EMCPE 016 Pulse Train Conrolled PCCM Buck-Boos Converer Ming Qina, Fangfang ib School of Elecrical Engineering, Zhengzhou

More information

READING ASSIGNMENTS LECTURE OBJECTIVES. Problem Solving Skills. x(t) = cos(αt 2 ) ELEG-212 Signal Processing and Communications

READING 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 information

Chapter 2. The Physical Layer

Chapter 2. The Physical Layer Chaper 2 The Physical Layer The Physical Layer Defines he mechanical, elecrical and iming inerfaces o he nework Transmission media - guided (copper and fiber opics) - wireless (radio erresrial) - saellie

More information

ATEE Adriana FLORESCU

ATEE Adriana FLORESCU SWITCHING POWER SUPPLY WITH MONOLITHIC SWITCHING REGULATOR SUBSYSTEMS AND DC-DC STEP-UP CONERTER PART B: Design Example, Pspice Simulaion, Pracical Consideraions, Experimenal Resuls Adriana FLORESCU Poliehnica

More information

Digital Communications - Overview

Digital 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 information

Power losses in pulsed voltage source inverters/rectifiers with sinusoidal currents

Power 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 information

ROBUST VOICE ACTIVITY DETECTION BASED ON PITCH AND SUB-BAND ENERGY

ROBUST VOICE ACTIVITY DETECTION BASED ON PITCH AND SUB-BAND ENERGY ROBUST VOICE ACTIVITY DETECTIO BASED O PITCH AD SUB-BAD EERGY Ziao Zang and Jinlong Lin Scool of Sofware and Microelecronics, Peking Universiy, Beijing 0087, Cina Ziao.Zang@pku.edu.cn, linjl@ss.pku.edu.cn

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

Analog/Digital Communications Primer

Analog/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 information

Analog Circuits EC / EE / IN. For

Analog Circuits EC / EE / IN.   For Analog Circuis For EC / EE / IN By www.hegaeacademy.com Syllabus Syllabus for Analog Circuis Small Signal Equivalen Circuis of Diodes, BJTs, MOSFETs and Analog CMOS. Simple Diode Circuis, Clipping, Clamping,

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

3: Microscopic imaging

3: Microscopic imaging Ouline 3: Microscopic imaging Microscope layou Three limis o resoluion Diracion Pixel size Aberraions Comparison o elescopes and microscopes Rober R. McLeod, Universiy o Colorado 35 Microscope layou Anaomy

More information

Spring Localization I. Roland Siegwart, Margarita Chli, Martin Rufli. ASL Autonomous Systems Lab. Autonomous Mobile Robots

Spring Localization I. Roland Siegwart, Margarita Chli, Martin Rufli. ASL Autonomous Systems Lab. Autonomous Mobile Robots Spring 2017 Localizaion I Localizaion I 10.04.2017 1 2 ASL Auonomous Sysems Lab knowledge, daa base mission commands Localizaion Map Building environmen model local map posiion global map Cogniion Pah

More information

ICT 5305 Mobile Communications

ICT 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 information

A novel quasi-peak-detector for time-domain EMI-measurements F. Krug, S. Braun, and P. Russer Abstract. Advanced TDEMI measurement concept

A novel quasi-peak-detector for time-domain EMI-measurements F. Krug, S. Braun, and P. Russer Abstract. Advanced TDEMI measurement concept Advances in Radio Science (24) 2: 27 32 Copernicus GmbH 24 Advances in Radio Science A novel quasi-peak-deecor for ime-domain EMI-measuremens F. Krug, S. Braun, and P. Russer Insiue for High-Frequency

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

FROM ANALOG TO DIGITAL

FROM ANALOG TO DIGITAL FROM ANALOG TO DIGITAL OBJECTIVES The objecives of his lecure are o: Inroduce sampling, he Nyquis Limi (Shannon s Sampling Theorem) and represenaion of signals in he frequency domain Inroduce basic conceps

More information