Communication Systems EE SUMMER CAMP ‘06 Binit Mohanty Ketan Rajawat.

Slides:



Advertisements
Similar presentations
Outline Transmitters (Chapters 3 and 4, Source Coding and Modulation) (week 1 and 2) Receivers (Chapter 5) (week 3 and 4) Received Signal Synchronization.
Advertisements

Introduction[1] •Three techniques are used independently or in tandem to improve receiver signal quality •Equalization compensates for.
Communication System Overview
Introduction to Digital Communications
EE359 – Lecture 8 Outline Capacity of Fading channels Fading Known at TX and RX Optimal Rate and Power Adaptation Channel Inversion with Fixed Rate Capacity.
Data Communication, Lecture 111 Channel Coding. Data Communication, Lecture 112 audio video (analogue) data (digital) Source anti-alias filter A/D Nyquist.
Semi-Blind Equalization for OFDM using Space-Time Block Coding and Channel Shortening Alvin Leung Yang You EE381K-12 March 04, 2008.
Fundamental Dynamics of Digital Communications
Outline Transmitters (Chapters 3 and 4, Source Coding and Modulation) (week 1 and 2) Receivers (Chapter 5) (week 3 and 4) Received Signal Synchronization.
Troy Lynn Bullock – Reagan High School Houston Independent School District Faculty Mentor : Dr. Tie Liu Information Theory and Coding for Wireless Broadcast.
Optimization of pilot Locations in Adaptive M-PSK Modulation in a Rayleigh Fading Channel Khaled Almustafa Information System Prince Sultan University.
Digital Data Transmission ECE 457 Spring Information Representation Communication systems convert information into a form suitable for transmission.
Communication Systems Simulation - I Harri Saarnisaari Part of Simulations and Tools for Telecommunication Course.
Sep 06, 2005CS477: Analog and Digital Communications1 Introduction Analog and Digital Communications Autumn
3F4 Data Transmission Introduction
Sep 08, 2005CS477: Analog and Digital Communications1 Example Systems, Signals Analog and Digital Communications Autumn
Chapter 1. Introduction Husheng Li The University of Tennessee.
Lecture 3 Outline Announcements: No class Wednesday Friday lecture (1/17) start at 12:50pm Review of Last Lecture Communication System Block Diagram Performance.
Multiantenna-Assisted Spectrum Sensing for Cognitive Radio
Data Communication, Lecture91 PAM and QAM. Data Communication, Lecture92 Homework 1: exercises 1, 2, 3, 4, 9 from chapter1 deadline: 85/2/19.
Lecture I Introduction to Digital Communications 1.Overview of comm. channels and digital links 2.Signal propagation through baseband PAM Links (ch. 1.
Signaling and Switching Chapter 6. Objectives In this chapter, you will learn to: Define modulation and explain its four basic versions Explain the different.
ELE 745 Digital Communications Xavier Fernando Ryerson Communications Research Lab (RCL)
An algorithm for dynamic spectrum allocation in shadowing environment and with communication constraints Konstantinos Koufos Helsinki University of Technology.
Introduction to Communication Systems
111 Lecture 5 Basic Modulation Techniques (I) Principles of Communications Fall 2008 NCTU EE Tzu-Hsien Sang.
Dept. of EE, NDHU 1 Chapter Three Baseband Demodulation/Detection.
1 Lab. 13 SISO Wireless System I  In a typical communication system, receiving starts with synchronization.  For a packet-based system, it includes –
A Survey of Spectrum Sensing Algorithm for Cognitive Radio Applications YaGun Wu netlab.
ECE 4710: Lecture #17 1 Transmitters  Communication Tx  generate modulated signal s(t) at the carrier frequency f c from the modulating information signal.
EE359 – Lecture 15 Outline Introduction to MIMO Communications MIMO Channel Decomposition MIMO Channel Capacity MIMO Beamforming Diversity/Multiplexing.
Outline Transmitters (Chapters 3 and 4, Source Coding and Modulation) (week 1 and 2) Receivers (Chapter 5) (week 3 and 4) Received Signal Synchronization.
Performance analysis of channel estimation and adaptive equalization in slow fading channel Chen Zhifeng Electrical and Computer Engineering University.
EE359 – Lecture 14 Outline Announcements: HW posted tomorrow, due next Thursday Will send project feedback this week Practical Issues in Adaptive Modulation.
Medicaps Institute of Technology & Management Submitted by :- Prasanna Panse Priyanka Shukla Savita Deshmukh Guided by :- Mr. Anshul Shrotriya Assistant.
Introduction to Digital and Analog Communication Systems
Week 7 Lecture 1+2 Digital Communications System Architecture + Signals basics.
Lecture 2 Outline Announcements: No class next Wednesday MF lectures (1/13,1/17) start at 12:50pm Review of Last Lecture Analog and Digital Signals Information.
September 9, 2004 EE 615 Lecture 2 Review of Stochastic Processes Random Variables DSP, Digital Comm Dr. Uf Tureli Department of Electrical and Computer.
Prof. Brian L. Evans Dept. of Electrical and Computer Engineering The University of Texas at Austin EE445S Real-Time Digital Signal Processing Lab Fall.
Tutorial 8 Mobile Communications Netrowks. Prob.1 Construct 4 Walsh (Orthogonal) codes for 4 different users by two methods. Assume that 4 users transmit.
Outline Transmitters (Chapters 3 and 4, Source Coding and Modulation) (week 1 and 2) Receivers (Chapter 5) (week 3 and 4) Received Signal Synchronization.
Synchronization of Turbo Codes Based on Online Statistics
Dept. of EE, NDHU 1 Chapter One Signals and Spectra.
ECE 4710: Lecture #31 1 System Performance  Chapter 7: Performance of Communication Systems Corrupted by Noise  Important Practical Considerations: 
EE359 – Lecture 12 Outline Combining Techniques
1 William Stallings Data and Computer Communications 7 th Edition Chapter 9 Spread Spectrum.
EE 3220: Digital Communication Dr. Hassan Yousif Ahmed Department of Electrical Engineering College of Engineering at Wadi Al Dawaser Prince Sattam bin.
3: Diversity Fundamentals of Wireless Communication, Tse&Viswanath 1 3. Diversity.
Outline Transmitters (Chapters 3 and 4, Source Coding and Modulation) (week 1 and 2) Receivers (Chapter 5) (week 3 and 4) Received Signal Synchronization.
EC 2401*** WIRELESS COMMUNICATION. Why Wireless Benefits – Mobility: Ability to communicate anywhere!! – Easier configuration, set up and lower installation.
Winter 2016 – Halim YanikomerogluPage 1 of 27 SYSC 5608 Wireless Communications Systems Engineering Introduction to Digital Communications Introduction.
Sept , 2002IEEE ISWC 2002 Opportunistic Large Arrays By Anna Scaglione and Yao-Win Hong.
ELEC E7210 Communication Theory Lectures autumn 2015 Department of Communications and Networking.
DIGITAL COMMUNICATION. Introduction In a data communication system, the output of the data source is transmitted from one point to another. The rate of.
Chapter 4: Information Theory. Learning Objectives LO 4.1 – Understand discrete and continuous messages, message sources, amount of information and its.
Fundamental Dynamics of Digital Communications
EE359 – Lecture 8 Outline Capacity of Flat-Fading Channels
Digital Communications
EE359 – Lecture 12 Outline Maximal Ratio Combining
Characterizations and Modeling of the Wireless Channel
Outline Transmitters (Chapters 3 and 4, Source Coding and Modulation) (week 1 and 2) Receivers (Chapter 5) (week 3 and 4) Received Signal Synchronization.
ELEG 6203: "Wireles Networks" Wireless Networks December 04,2003
Channel Estimation in OFDM Systems
Digital Communication Chapter 1: Introduction
Telecommunication Systems –II Laboratories
Chen Zhifeng Electrical and Computer Engineering University of Florida
Binit Mohanty Ketan Rajawat
Channel Estimation in OFDM Systems
Malong Wang Ting-change
Presentation transcript:

Communication Systems EE SUMMER CAMP ‘06 Binit Mohanty Ketan Rajawat

Communication Meaningful exchange of Information between two bodies. Speed Reliability Quantity Security

A Communication System Data SourceSource CodingNetworkingChannel Coding ModulationPre-Processing Tx Up-Conversion Channel Rx Dn-Conversion Synchronization Channel Estimation Complementary Processes

Source Coding To reduce the size of the message Exploits “redundancy” in the message Areas Used: Probability, Math (of MTH 102N type)

Networking Routing : To plan a route for the message to be conveyed Find the “best” path –Network considerations –Congestion –Speed Statistics, Algorithm Design

Channel Coding Ensure fidelity of the transmitted signal Adds “redundancy” Linear Algebra, Algorithm Design

Modulation & Preprocessing How to send Digital signals in Analog channel? Pulse Shaping: Some signals are more “practical” and “tractable” than others Signals and System, DSP

Transmitter How will you “send” the signal? Involves Microelectronics, Microwave Engg etc Is not of primary concern to Comm!

Channel Wired –Additive White Gaussian Noise (AWGN) Wireless –AWGN –Fading –Doppler Statistics, Experimental Modelling

Receiver Similar to Transmitter!

Synchronization Time synchronization Frequency synchronization Signals and Systems, Linear Algebra

Channel Estimation Only in case of wireless Knowledge of channel may help in –Power Control –Rx/Tx Decisions –Pulse shaping Probability and Statistics, Modelling