Lecture 13,14: Modulation Bandpass signals Aliazam Abbasfar.

Slides:



Advertisements
Similar presentations
S Transmission Methods in Telecommunication Systems (4 cr) Carrier Wave Modulation Systems.
Advertisements

EE445S Real-Time Digital Signal Processing Lab Spring 2014 Lecture 15 Quadrature Amplitude Modulation (QAM) Transmitter Prof. Brian L. Evans Dept. of Electrical.
CNU Dept. of Electronics D. J. Kim1 Lecture on Communication Theory Chapter 5. Noise in CW Modulation System 5.1 Introduction - Receiver Noise (Channel.
Department of Electronics and CommunicationsEngineeringYANSAHAN UNIVERSITY Department of Electronics and Communications Engineering YANSAHAN UNIVERSITY.
Noise on Analog Systems
Outline Transmitters (Chapters 3 and 4, Source Coding and Modulation) (week 1 and 2) Receivers (Chapter 5) (week 3 and 4) Received Signal Synchronization.
Nov 01, 2005CS477: Analog and Digital Communications1 Bandpass Noise Analog and Digital Communications Autumn
Angle Modulation Objectives
C H A P T E R 4 AMPLITUDE MODULATIONS AND DEMODULATIONS
Chapter 5 AM, FM, and Digital Modulated Systems
Phasor Analysis of Bandpass Signals
Chapter 4 Amplitude Modulation. Baseband vs Passband Transmission  Baseband signals: Voice (0-4kHz) TV (0-6 MHz)  A signal may be sent in its baseband.
ELEC 303 – Random Signals Lecture 21 – Random processes
1 RF (Radio Frequency) technology Part ll RF (Radio Frequency) technology Part ll BASIC TELECOMMUNICATIONS.
Lecture 1. References In no particular order Modern Digital and Analog Communication Systems, B. P. Lathi, 3 rd edition, 1998 Communication Systems Engineering,
Prof. Brian L. Evans Dept. of Electrical and Computer Engineering The University of Texas at Austin EE345S Real-Time Digital Signal Processing Lab Spring.
Prof. Brian L. Evans Dept. of Electrical and Computer Engineering The University of Texas at Austin EE345S Real-Time Digital Signal Processing Lab Fall.
Chapter 2. Signals Husheng Li The University of Tennessee.
Prof. Brian L. Evans Dept. of Electrical and Computer Engineering The University of Texas at Austin EE445S Real-Time Digital Signal Processing Lab Fall.
Signals and Systems Fall 2003 Lecture #15 28 October Complex Exponential Amplitude Modulation 2. Sinusoidal AM 3. Demodulation of Sinusoidal AM.
8.0 Communication Systems Modulation: embedding an information-bearing signal into a second signal e.g. – purposes : locate the signal on the right band.
Lecture 18-19: Linear Modulations Aliazam Abbasfar.
Prof. Brian L. Evans Dept. of Electrical and Computer Engineering The University of Texas at Austin EE445S Real-Time Digital Signal Processing Lab Fall.
Review for Exam I ECE460 Spring, 2012.
EE345S Real-Time Digital Signal Processing Lab Fall 2006 Lecture 16 Quadrature Amplitude Modulation (QAM) Receiver Prof. Brian L. Evans Dept. of Electrical.
Random Processes ECE460 Spring, Power Spectral Density Generalities : Example: 2.
1 I. Phasors (complex envelope) representation for sinusoidal signal narrow band signal II. Complex Representation of Linear Modulated Signals & Bandpass.
Course Review for Final ECE460 Spring, Common Fourier Transform Pairs 2.
Quadrature Amplitude Modulation (QAM) Transmitter
1 Chapter 1 Introduction to spread-spectrum communications Part I.
CHAPTER4: CONTINUOUS-WAVE (CW) MODULATION First semester King Saud University College of Applied studies and Community Service 1301CT.
Eeng Chapter4 Bandpass Signalling  Definitions  Complex Envelope Representation  Representation of Modulated Signals  Spectrum of Bandpass Signals.
EE354 : Communications System I
Chapter 6 Bandpass Random Processes
ECE 4710: Lecture #16 1 Bandpass Spectrum  Spectrum of bandpass signal is directly related to spectrum of complex envelope  We have already shown that.
EE 3220: Digital Communication Dr. Hassan Yousif Ahmed Department of Electrical Engineering College of Engineering at Wadi Aldwasser Slman bin Abdulaziz.
Prof. Nizamettin AYDIN Advanced Digital Signal Processing 1.
EE354 : Communications System I
Single carrier  Multicarrier  OFDM Single Carrier - ISI, Receiver complexity  ISI, Bit rate limitation Multi-carrier - Negligible ISI, Approximately.
Lecture 17,18: Phase Modulations Aliazam Abbasfar.
Lecture 26,27,28: Digital communication Aliazam Abbasfar.
Eeng Chapter4 Bandpass Signalling  Bandpass Filtering and Linear Distortion  Bandpass Sampling Theorem  Bandpass Dimensionality Theorem  Amplifiers.
8.0 Communication Systems Modulation: embedding an information-bearing signal into a second signal e.g. – purposes : locate the signal on the right band.
EE354 : Communications System I
Chapter 4 Amplitude Modulation. Baseband vs Passband Transmission  Baseband signals: Voice (0-4kHz) TV (0-6 MHz)  A signal may be sent in its baseband.
EE354 : Communications System I
Eeng Chapter4 Bandpass Signalling  Bandpass Filtering and Linear Distortion  Bandpass Sampling Theorem  Bandpass Dimensionality Theorem  Amplifiers.
디지털통신 Bandpass Modulation 1 임 민 중 동국대학교 정보통신공학과.
Hw week 5 1. Let the message signal m(t) = 4 + 2cos(2  103t), carrier wave xc(t) = 8cos(2  106t) (a) For DSB-SC systems, draw the frequency domain.
Modulation Techniques
Amplitude Modulation.
Chapter 6 Bandpass Random Processes
Chapter4 Bandpass Signalling Definitions
Chapter4 Bandpass Signalling Bandpass Filtering and Linear Distortion
Analog Transmission.
Chapter4 Bandpass Signalling Definitions
Chapter 10. Digital Signals
Quadrature Amplitude Modulation (QAM) Transmitter
Amplitude Shift Keying (ASK)
Lecture 5: DSB-SC AM Modulation 1st semester
Quadrature Amplitude Modulation (QAM) Transmitter
Lecture 6: FM Modulation 1st semester By: Elham Sunbu.
Chapter4 Bandpass Signalling Bandpass Filtering and Linear Distortion
Amplitude Shift Keying (ASK)
Amplitude Modulation By Dr. Vaibhav Jain Associate Professor, Dept. of Physics, D.A.V (PG) College, Bulandshahr, U.P., India.
CHAPTER - 5 Introduction to Communication Systems (222 CNET - 3)
Lab 6: Week 1 Quadrature Amplitude Modulation (QAM) Transmitter
8. Communication Systems
Electrical Communications Systems ECE Spring 2007
ECE 4371, Fall, 2017 Introduction to Telecommunication Engineering/Telecommunication Laboratory Zhu Han Department of Electrical and Computer Engineering.
Presentation transcript:

Lecture 13,14: Modulation Bandpass signals Aliazam Abbasfar

Outline Modulation Bandpass signals Bandpass processes

Modulation Message signal m(t) modulates a carrier signal x c (t) Convert lowpass message to bandpass signal Sinusoid carrier : x c (t) = A c cos( w c t +  c ) A c : carrier amplitude f c / c : carrier frequency/phase AM/FM/PM ASK/FSK/PSK Pulse carrier : PAM/PWM/PPM Linear/Non-linear modulations

Why modulation ? Sending messages in passband channels Allocated spectrum Better channel characteristics Design convenience Transmission of several messages simultaneously Frequency division multiplexing (FDM)

Bandpass signals

Bandpass signals (2) Equivalent lowpass signal v I (t) and v Q (t) are real, lowpass signals

Hilbert transform One-sided spectrum Hilbert transform H(f) = -j sgn(f)  h(t) = 1/t Quadrature filter: 90 phase shifter Lowpass signal

Bandpass transmission Equivalent lowpass channel If X lp (f) is band limited Narrowband/Wideband systems (B/f c )

Modulation/Demodulation Transmitter (modulator) message signals are constructed as lowpass signals Modulators generate bandpass signals Receiver (demodulator) bandpass received signals are demodulated to produce lowpass signals Lowpass signals are processed to get messages Lowpass to bandpass Amplitude  Envelope Constant phase  Carrier phase Linear phase  Carrier frequency offset Delay  Envelope(group) delay Baseband transmission f c = 0 (No modulation) Lowpass signal = real

Bandpass process X(t) is bandpass if G X (f)= 0 for |f-f c |>W The modulated signal The filtered noise Generalize bandpass signals If X(t) is zero-mean stationary process, X I (t) and X Q (t) are zero-mean and jointly stationary G Xi (f)= G Xq (f)= G X (f-f c ) + G X (f+f c )|f|<f c = 0 |f|>f c X I (t 0 ) and X Q (t 0 ) are uncorrelated Envelope and phase processes

Bandpass WGN process n(t) = n I (t) cos(  c t) – n Q (t) sin(  c t) Bandwidth 2W n I (t) and n Q (t) are independent and jointly Gaussian A(t) : Rayleigh distributed (t) : uniform distributed If f c is in the middle of the band G ni (f)= G nq (f)= N 0 |f|<W n I and n Q are independent If f c is on either end of the band G ni (f)= G nq (f)= N 0 /2|f|<2W P ni = P nq = P n = 2 N 0 W (n I +j n Q )= CN(0,4N 0 W)

Reading Carlson Ch. 4.1 and 3.6 Proakis 2.5, 3.1, 3.2