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Exploiting Memory and Soft-Decision Information in Channel Optimized Quantization for Correlated
 

Summary: Exploiting Memory and Soft-Decision Information
in Channel Optimized Quantization for Correlated
Fading Channels
Shervin Shahidi
shervin.shahidi@queensu.ca
Fady Alajaji
fady@mast.queensu.ca
Tam´as Linder
linder@mast.queensu.ca
Abstract--A channel optimized vector quantizer (COVQ)
scheme is studied and evaluated for a recently introduced discrete
binary-input 2q
-ary-output channel with Markovian ergodic
noise based on a finite queue. This channel can effectively
model binary-modulated correlated Rayleigh fading channels
with output quantization of resolution q. It is shown that the
system can successfully exploit the channel's memory and soft-
decision information. Signal-to-distortion gains of up to 2.3
dB are obtained for only 2 bits of soft-decision quantization
over COVQ schemes designed for a hard-decision (q = 1) de-

  

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

 

Collections: Engineering