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A maximum likelihood decoding algorithm for wireless channels

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dc.contributor.author Babalis, PG en
dc.contributor.author Trakadas, PT en
dc.contributor.author Capsalis, CN en
dc.date.accessioned 2014-03-01T01:17:21Z
dc.date.available 2014-03-01T01:17:21Z
dc.date.issued 2002 en
dc.identifier.issn 0929-6212 en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/14481
dc.subject Block codes en
dc.subject Maximum-likelihood-decoding en
dc.subject Probability of error en
dc.subject.classification Telecommunications en
dc.subject.other Algorithms en
dc.subject.other Approximation theory en
dc.subject.other Block codes en
dc.subject.other Coding errors en
dc.subject.other Communication channels (information theory) en
dc.subject.other Computational complexity en
dc.subject.other Computer simulation en
dc.subject.other Decoding en
dc.subject.other Maximum likelihood estimation en
dc.subject.other Probability en
dc.subject.other Satellite communication systems en
dc.subject.other Linear block codes en
dc.subject.other Maximum likelihood decoding algorithm en
dc.subject.other Satellite channels en
dc.subject.other Tanaka-Kakigahara algorithm en
dc.subject.other Wireless channels en
dc.subject.other Wireless telecommunication systems en
dc.title A maximum likelihood decoding algorithm for wireless channels en
heal.type journalArticle en
heal.identifier.primary 10.1023/A:1021155124503 en
heal.identifier.secondary http://dx.doi.org/10.1023/A:1021155124503 en
heal.language English en
heal.publicationDate 2002 en
heal.abstract A new maximum likelihood decoding (MLD) algorithm for linear block codes is proposed. The new algorithm uses the algebraic decoder in order to generate the set of candidate codewords. It uses the exact probability for each codeword as a new likelihood metric and a method to generate the appropriate set of codewords similar to Kaneko, et al., and Tanaka-Kakigahara algorithms. The performance of the proposed algorithm is the same as that of MLD as it is proved theoretically and verified by simulation results. The comparison with these similar algorithms shows that the new one always requires less average decoding complexity than those of the other algorithms. Finally, we compare the algorithms for terrestrial and satellite channels. en
heal.publisher KLUWER ACADEMIC PUBL en
heal.journalName Wireless Personal Communications en
dc.identifier.doi 10.1023/A:1021155124503 en
dc.identifier.isi ISI:000179358400004 en
dc.identifier.volume 23 en
dc.identifier.issue 2 en
dc.identifier.spage 283 en
dc.identifier.epage 295 en


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