Bit-estimate based decoding for vector quantization over noisy channels with intersymbol interference
2000 (English)In: IEEE Transactions on Communications, ISSN 0090-6778, E-ISSN 1558-0857, Vol. 48, no 8, 1309-1317 p.Article in journal (Refereed) Published
We introduce new techniques for quantization over noisy channels with intersymbol interference. We focus on the decoding problem, and present a decoder structure that allows the decoding to be based on soft minimum mean-square-error estimates of the transmitted bits. The new bit-estimate based decoder provides a structured lower-complexity approximation of optimal decoding for general codebooks, and for so-called linear mapping codebooks, it is shown that its implementation becomes particularly simple, We investigate decoding based on optimal bit-estimates, and on suboptimal estimates of lower computational complexity. We also consider encoder optimization and combined source-channel code design. Numerical simulations demonstrate that bit estimate based de coding is able to outperform a two-stage decision-based approach implemented using Viterbi sequence detection plus table look-up source decoding. The simulations also show that decoding based on suboptimal bit-estimates performs well, at a considerably lowered complexity.
Place, publisher, year, edition, pages
2000. Vol. 48, no 8, 1309-1317 p.
combined source-channel coding, equalization, intersymbol interference, soft decoding, vector quantization, design, codes
Electrical Engineering, Electronic Engineering, Information Engineering
IdentifiersURN: urn:nbn:se:kth:diva-20003DOI: 10.1109/26.864168ISI: 000089038700011OAI: oai:DiVA.org:kth-20003DiVA: diva2:338696
QC 20100525 QC 201112132010-08-102010-08-102011-12-14Bibliographically approved