DocumentCode
1537245
Title
Three types of robust maximum-likelihood Viterbi decoder
Author
Hu, Xiao-Yu ; Yu, Xiao-Hu
Author_Institution
Nat. Commun. Res. Lab., Southeast Univ., Nanjing, China
Volume
43
Issue
1
fYear
1997
fDate
2/1/1997 12:00:00 AM
Firstpage
34
Lastpage
39
Abstract
We propose three new types of maximum-likelihood Viterbi (1967) decoders (for convolutional or trellis codes) with each under the hypothesis of logistics, Laplace, of Cauchy noise distribution respectively. Unlike a Gaussian ML Viterbi decoder, the three newly-proposed Viterbi decoders exhibit a valuable robustness property, i.e. insensitivity to deviations from the assumed noise distribution
Keywords
Gaussian distribution; Viterbi decoding; convolutional codes; maximum likelihood decoding; trellis codes; Cauchy noise distribution; Laplace distribution; convolutional codes; logistics; robust maximum-likelihood Viterbi decoder; trellis codes; AWGN; Additive noise; Additive white noise; Gaussian noise; Logistics; Maximum likelihood decoding; Maximum likelihood detection; Maximum likelihood estimation; Noise robustness; Viterbi algorithm;
fLanguage
English
Journal_Title
Consumer Electronics, IEEE Transactions on
Publisher
ieee
ISSN
0098-3063
Type
jour
DOI
10.1109/30.580382
Filename
580382
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