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28 IEEE COMMUNICATIONS LETTERS, VOL. 13, NO. 1, JANUARY 2009 COVQ for MAP Hard-Decision Demodulated Channels
 

Summary: 28 IEEE COMMUNICATIONS LETTERS, VOL. 13, NO. 1, JANUARY 2009
COVQ for MAP Hard-Decision Demodulated Channels
Hamidreza Ebrahimzadeh Saffar, Student Member, IEEE, Fady Alajaji, Senior Member, IEEE,
and Tam´as Linder, Senior Member, IEEE
Abstract--We design a channel optimized vector quantizer
(COVQ) for symbol-by-symbol maximum a posteriori (MAP)
hard-decision demodulated channels. The main objective is to ex-
ploit the non-uniformity of the indices representing the quantized
source via the MAP decoder and iteratively optimize the overall
discrete channel (at the symbol level) jointly with the quantizer.
We consider memoryless Gaussian and Gauss-Markov sources
transmitted over a binary phase-shift keying modulated Rayleigh
fading channel. Our scheme has less encoding computational
and storage complexity (particularly for noisy channel condi-
tions) than both conventional and soft-decision COVQ systems,
which use hard-decision and soft-decision maximum likelihood
demodulation, respectively. Furthermore, it provides a notable
signal-to-distortion ratio gain over the former system, and in
some cases it matches or outperforms the latter one.
Index Terms--Joint source-channel coding, channel optimized

  

Source: Alajaji, Fady - Department of Mathematics and Statistics, Queen's University (Kingston)

 

Collections: Engineering