Maximum likelihood joint channel and data estimation using genetic algorithms
نویسندگان
چکیده
منابع مشابه
Maximum likelihood joint channel and data estimation using genetic algorithms
A batch blind equalization scheme is developed based on maximum likelihood joint channel and data estimation. In this scheme, the joint maximum likelihood optimization is decomposed into a twolevel optimization loop. A micro genetic algorithm is employed at the upper level to identify the unknown channel model, and the Viterbi algorithm is used at the lower level to provide the maximum likeliho...
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A novel blind equalisation scheme is developed based on maximum likelihood (ML) joint channel and data estimation. In this scheme, the joint ML optimisation is decomposed into a two-level optimisation loop. An e cient version of genetic algorithms (GAs), known as a micro GA, is employed at the upper level to identify the unknown channel model and the Viterbi algorithm (VA) is used at the lower ...
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ژورنال
عنوان ژورنال: IEEE Transactions on Signal Processing
سال: 1998
ISSN: 1053-587X
DOI: 10.1109/78.668813