17EC61 Digital Communication syllabus for TE

Bandpass Signal to Equivalent Lowpass:

Hilbert Transform, Pre-envelopes, Complex envelopes, Canonical representation of bandpass signals, Complex low pass representation of bandpass systems, Complex representation of band pass signals and systems (Text 1: 2.8, 2.9, 2.10, 2.11, 2.12, 2.13).

Line codes:

Unipolar, Polar, Bipolar (AMI) and Manchester code and their power spectral densities (Text 1: Ch 6.10). Overview of HDB3, B3ZS, B6ZS (Ref. 1: 7.2) L1, L2, L3

Signaling over AWGN Channels-

Introduction, Geometric representation of signals, Gram-Schmidt Orthogonalization procedure, Conversion of the continuous AWGN channel into a vector channel, Optimum receivers using coherent detection: ML Decoding, Correlation receiver, matched filter receiver (Text 1: 7.1, 7.2, 7.3, 7.4). L1, L2, L3

Digital Modulation Techniques:

Phase shift Keying techniques using coherent detection: generation, detection and error probabilities of BPSK and QPSK, M–ary PSK, M–ary QAM (Relevant topics in Text 1 of 7.6, 7.7).

Frequency shift keying techniques using Coherent detection: BFSK generation, detection and error probability (Relevant topics in Text 1 of 7.8).

Non coherent orthogonal modulation techniques: BFSK, DPSK Symbol representation, Block diagrams treatment of Transmitter and Receiver, Probability of error (without derivation of probability of error equation) (Text 1: 7.11, 7.12. 7.13). L1, L2, L3

Communication through Band Limited Channels:

Digital Transmission through Band limited channels: Digital PAM Transmission through Band limited Channels, Signal design for Band limited Channels: Design of band limited signals for zero ISI– The Nyquist Criterion (statement only), Design of band limited signals with controlled ISI-Partial Response signals, Probability of error for detection of Digital PAM: Probability of error for detection of Digital PAM with Zero ISI, Symbol–by–Symbol detection of data with controlled ISI (Text 2: 9.1, 9.2, 9.3.1, 9.3.2). Channel Equalization: Linear Equalizers (ZFE, MMSE), Adaptive Equalizers (Text 2: 9.4.2). L1, L2, L3

Principles of Spread Spectrum:

Spread Spectrum Communication Systems: Model of a Spread Spectrum Digital Communication System, Direct Sequence Spread Spectrum Systems, Effect of De-spreading on a narrowband Interference, Probability of error (statement only), Some applications of DS Spread Spectrum Signals, Generation of PN Sequences, Frequency Hopped Spread Spectrum, CDMA based on IS-95 (Text 2: 11.3.1, 11.3.2, 11.3.3, 11.3.4, 11.3.5, 11.4.2). L1, L2, L3

Course Outcomes:

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

• Associate and apply the concepts of Bandpass sampling to well specified signals and channels.
• Analyze and compute performance parameters and transfer rates for low pas and bandpass symbol under ideal and corrupted non band limited channels.
• Test and validate symbol processing and performance parameters at the receiver under ideal and corrupted bandlimited channels.
• Demonstrate by simulation and emulation that bandpass signals subjected to corrupted and distorted symbols in a bandlimited channel, can be demodulated and estimated at receiver to meet specified performance criteria.

Text Books:

1. Simon Haykin, ―Digital Communication Systems‖, John Wiley & sons, First Edition, 2014, ISBN 978-0-471-64735-5.

2. John G Proakis and Masoud Salehi, ―Fundamentals of Communication Systems‖, 2014 Edition, Pearson Education, ISBN 978-8-131-70573-5.

Reference Books:

1. B.P.Lathi and Zhi Ding, ―Modern Digital and Analog communication Systems‖, Oxford University Press, 4th Edition, 2010, ISBN: 978-0-198-07380-2.

2. Ian A Glover and Peter M Grant, ―Digital Communications‖, Pearson Education, Third Edition, 2010, ISBN 978-0-273-71830-7.

3. John G Proakis and Masoud Salehi, ―Communication Systems Engineering‖, 2nd Edition, Pearson Education, ISBN 978-93-325-5513-6.