EC3491 Communication Systems Syllabus - Anna University

EC3491 COMMUNICATION SYSTEMS

L T P C

3 0 0 3

COURSE OBJECTIVES:

• To study modulation and demodulation techniques for analog signals
• To analyze the characteristics of analog communication systems
• To understand the concepts of noise and its impact on communication systems
• To understand the basics and implementation of digital modulation techniques
• To study the information theory concepts for digital communication systems

UNIT I ANALOG MODULATION AND DEMODULATION

Introduction to Communication Systems, Need for modulation, AM and its variants - Double Sideband Suppressed Carrier (DSB-SC) - Single Sideband (SSB), Vestigial Sideband (VSB), Angle modulation - Frequency Modulation and Phase Modulation, Demodulation of AM, FM and PM signals, Receivers - TRF, superheterodyne receiver

UNIT II NOISE AND ANALOG COMMUNICATION SYSTEMS

Introduction to Noise - Thermal Noise, Shot noise, White Noise and Noise Figure, Noise in AM and FM systems, Performance of AM and FM receivers - Detection and its probability, Threshold effect, SNR for AM, FM and PM systems - Analog Communication Systems - Comparison of various modulation techniques

UNIT III SIGNAL SPACE REPRESENTATION AND DIGITAL MODULATION

Signal Space Representation - Geometric representation of signals - Concepts and Mathematical Representation of Vector Space - Orthonormal basis functions - Gram - Schmidt Orthogonalization procedure - Signal Constellation, Digital Modulation Techniques - ASK, FSK, PSK, DPSK, QAM, M-ary modulation and its variants

UNIT IV DEMODULATION OF DIGITAL MODULATED SIGNALS

Demodulation of digital modulated signals - Matched filter receiver - Correlation receiver - Detection in AWGN channel, Error probability of various digital modulation schemes - Symbol error rate and Bit error rate - Bandwidth efficiency and Power efficiency comparison

UNIT V INFORMATION THEORY AND SOURCE CODING

Information theory concepts - Entropy, Information rate, Source coding - Huffman coding, Shannon-Fano coding, Lempel-Ziv coding, Channel Capacity - Shannon’s theorem, Channel coding - Turbo codes, Low-Density Parity Check (LDPC) codes

TOTAL: 45 PERIODS

COURSE OUTCOMES:

At the end of the course the students will be able to

1. CO1: Design and analyze analog modulation and demodulation systems
2. CO2: Analyze the effect of noise on analog communication systems
3. CO3: Comprehend signal space representation of signals and their constellation
4. CO4: Design and analyze digital modulation and demodulation systems
5. CO5: Evaluate information capacity of communication channels and apply source coding techniques

TEXTBOOKS:

1. Simon Haykin, "Communication Systems", Fourth Edition, John Wiley & Sons, 2001. (Unit I, II, III, IV, V)

REFERENCES:

1. Amitabha Bhattacharya, "Digital Communication", Tata Mc Graw Hill, 2006
2. Leon W Couch II, "Digital and Analog Communication Systems", Seventh Edition, Pearson Education / Prentice Hall, 2007.
3. Rodger E. Ziemer and William H. Tranter, "Principles of Communications", Sixth Edition, John Wiley & Sons, 2009.