Performance of soft metrics for convolutional coded asynchronous fast FHSS-MA networks using BFSK under Rayleigh fading

Performance of robust soft decoding metrics is examined for use in convolutional coded asynchronous fast frequency-hop spread-spectrum multiple-access networks using binary frequency-shift keying under Rayleigh fading channels. For comparison, maximum-likelihood metrics based on a Gaussian approxima...

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Bibliographic Details
Published inIEEE transactions on communications Vol. 51; no. 1; pp. 5 - 7
Main Authors Youhan Kim, Cheun, K.
Format Journal Article
LanguageEnglish
Published New York IEEE 01.01.2003
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Approximation
Channels
Convolutional codes
Decoding
Fading
Frequency division multiaccess
Frequency shift keying
Gain
Gaussian
Mathematical analysis
Maximum likelihood decoding
Networks
Pattern matching
Rayleigh channels
Robustness
Spread spectrum communication
Superluminescent diodes
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Summary:Performance of robust soft decoding metrics is examined for use in convolutional coded asynchronous fast frequency-hop spread-spectrum multiple-access networks using binary frequency-shift keying under Rayleigh fading channels. For comparison, maximum-likelihood metrics based on a Gaussian approximation are derived. Significant gains are observed compared to hard decision decoding by using appropriate soft metrics.
Bibliography:ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 23
ISSN:0090-6778
1558-0857
DOI:10.1109/TCOMM.2002.807600