EE4-01 Advanced Communication Theory
Lecturer(s): Prof Thanassis ManikasAims:
To provide the theoretical framework for modelling and analysing conventional digital communication systems, as well as spread spectrum systems. Then to present the principles of "space-time" communication theory.
Learning Outcomes:
Syllabus:
INTRODUCTORY CONCEPTS: Modelling of information sources, communication channels and sinks. Definitions of priori and posterior probabilities in relation to the model of a communication channel. MAP criterion, likelihood functions and likelihood ratio. An initial study on the performance of a digital communication system and expansion to a Spread Spectrum System.
OPTIMUM DETECTION THEORY: Detection criteria. Receiver Operating Characteristics (ROC). Detection of known signals in the presence of white noise and the concept of an optimum receiver. Matched filter receivers and their mathematical analysis. Extension to non-white noise.
Orthogonal signals and the "approximaton theorem". M-ary signals and signal constellation. Basic concepts and analysis of orthogonal and biorthogonal M-ary communication systems. 64-ary Walsh-Hadamard signal set.
PN-SEQUENCES: Galois field GF(2) basic theory, shift registers, basic properties of m-sequences, statistical properties of m-sequences, Gold sequences.
PN-SIGNALS: Modelling, cross/auto correlation functions and power spectral density, partial correlation properties.
SPREAD SPECTRUM SYSTEMS (SSS): Basic concepts and parameters.
Classification and modelling of jammers. Modelling of BPSK and QPSK Direct Sequence SSS in a jamming environment, estimation of SNIR and bit-error-probability. Direct sequence SSS on the (SNR/pe, EUE,BUE) parameter plane. Frequency Hopping SSS.
PPRINCIPLES of CDMA: investigaton of important system components with special attention given to RAKE receiver. Modelling and analysis with emphasis given on capacity issues. An overview of UMTS Wideband CDMA (3G).
SPACE-TIME COMMUNICATIONS: definitions, notation, spaces and projection operators. Modelling an array received signal-vector and the concept of the array manifold. Multidimensional correlators. Estimation of signal parameters including Directions of Arrival, powers, cross-correlations etc. Array pattern and beamformers. Vector-channel effects (including multipaths, angular spread, doppler spread and fading). Outage probability. Integrated Array CDMA systems. Single-User and Multi-User Array CDMA receivers. SISO, SIMO, MISO, MIMO.
Assessment:
One 3-hour exam in April/May + Coursework
Coursework contribution: 25%
Term: Autumn
Closed or Open Book (end of year exam): Closed
Coursework Requirement
To be announced
Oral Exam Required (as final assessment): N/A
Prerequisite: EE3-03 - Communication Systems
Course Homepage: http://skynet.ee.ic.ac.uk/notes/notes.html
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