DocumentCode
864182
Title
Multiple
Filter-Based Deterministic Sequence Estimation in Non-Gaussian Channels
Author
Kulatunga, Harini ; Kadirkamanathan, Visakan
Volume
13
Issue
4
fYear
2006
fDate
4/1/2006 12:00:00 AM
Firstpage
185
Lastpage
188
Abstract
A novel and more robust implementation is proposed for sequence estimation in uncertain environments with additive non-Gaussian ambient noise and intersymbol interference. This is based on a deterministic performance index that minimizes the effect of worst-case disturbances on the estimation error. The decoder has multiple
filters and is in the fashion of per-survivor processing with a Viterbi trellis for decoding. There is a substantial performance improvement over maximum-likelihood sequence estimation, as shown by simulation results obtained for joint channel estimation and symbol decoding in non-Gaussian channels.
filters and is in the fashion of per-survivor processing with a Viterbi trellis for decoding. There is a substantial performance improvement over maximum-likelihood sequence estimation, as shown by simulation results obtained for joint channel estimation and symbol decoding in non-Gaussian channels.Keywords
Adaptive equalization; sequence estimation; Additive noise; Estimation error; Filters; Intersymbol interference; Maximum likelihood decoding; Maximum likelihood estimation; Noise robustness; Performance analysis; Viterbi algorithm; Working environment noise; Adaptive equalization; sequence estimation;
fLanguage
English
Journal_Title
Signal Processing Letters, IEEE
Publisher
ieee
ISSN
1070-9908
Type
jour
DOI
10.1109/LSP.2005.863635
Filename
1605234
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