Syllabus
Signal space concepts: Geometric structure of the signal space, vector representation, distance, norm and inner product, orthogonality, Gram-Schmidt orthogonalization procedure.
Matched filter receiver, Inter symbol interference, Pulse Shaping, Nyquist criterion for zero ISI, Signaling with duobinary pulses, Eye diagram, Equalizer, Scrambling and descrambling.
Review of Gaussian random process, Optimum threshold detection, Optimum Receiver for AWGN channel, Matched filter and Correlation receivers, Decision Procedure: Maximum aposteriori probability detector- Maximum likelihood detector, Error probability performance of binary signaling.
Digital band pass modulation schemes: ASK, FSK, PSK, MSK – Digital M-ary modulation schemes – signal space representation Detection of signals in Gaussian noise - Coherent & non-coherent detection – Differential modulation schemes – Error performance of binary and M-ary modulation schemes – Probability of error of binary DPSK – Performance of M-ary signaling schemes in AWGN channels - Power spectra of digitally modulated signals, Performance comparison of digital modulation schemes.
Text Books
- Lathi BP. Modern Digital and Analog Communication Systems 3e. Oxford University Press, 1998
- John G Proakis and M. Salehi, Communication systems engineering, Prentice Hall, 1994.
- Rodger E. Ziemer, and William H. Tranter. Principles of communications. John Wiley & Sons, 2014.
- Simon Haykin. Communication systems. John Wiley & Sons, 2008.
References
Course Outcomes (COs):
CO1: Understand discrete time system theory, DTFT, DFT, FFT, z- transforms for mathematical modelling of discrete time communication systems
CO2: Understand and apply probability theory and stochastic processes for mathematical modelling and performance analysis of SNR, bit error rate, power spectral density of point to point digital communication systems
CO3: Analyze various subsystems for baseband and passband processing of digital communication systems such as equalizers, synchronizers, modulation and demodulation schemes
CO4: Evaluate given requirements for a digital communication system and apply that for designing parameters for various subsystems via link budget analysis
CO5: Apply the knowledge gained from this course for understanding modern wired and wireless digital communication systems