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Please use this identifier to cite or link to this item: http://hdl.handle.net/1974/6772

Title: Robust Lossy Source Coding for Correlated Fading Channels
Authors: SHAHIDI, SHERVIN

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Keywords: channel with Markovian memory
quantization
Fading channels
soft-decision demodulation
MAP decoding
Joint source-channel coding
Issue Date: 28-Sep-2011
Series/Report no.: Canadian theses
Abstract: Most of the conventional communication systems use channel interleaving as well as hard decision decoding in their designs, which lead to discarding channel memory and soft-decision information. This simplification is usually done since the complexity of handling the memory or soft-decision information is rather high. In this work, we design two lossy joint source-channel coding (JSCC) schemes that do not use explicit algebraic channel coding for a recently introduced channel model, in order to take advantage of both channel memory and soft-decision information. The channel model, called the non-binary noise discrete channel with queue based noise (NBNDC-QB), obtains closed form expressions for the channel transition distribution, correlation coefficient, and many other channel properties. The channel has binary input and $2^q$-ary output and the noise is a $2^q$-ary Markovian stationary ergodic process, based on a finite queue, where $q$ is the output's soft-decision resolution. We also numerically show that the NBNDC-QB model can effectively approximate correlated Rayleigh fading channels without losing its analytical tractability. The first JSCC scheme is the so called channel optimized vector quantizer (COVQ) and the second scheme consists of a scalar quantizer, a proper index assignment, and a sequence maximum a posteriori (MAP) decoder, designed to harness the redundancy left in the quantizer's indices, the channel's soft-decision output, and noise time correlation. We also find necessary and sufficient condition when the sequence MAP decoder is reduced to an instantaneous symbol-by-symbol decoder, i.e., a simple instantaneous mapping.
Description: Thesis (Master, Electrical & Computer Engineering) -- Queen's University, 2011-09-25 19:43:28.785
URI: http://hdl.handle.net/1974/6772
Appears in Collections:Queen's Theses & Dissertations
Electrical and Computer Engineering Graduate Theses

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