Joint turbo decoding and estimation of hidden Markov sources
作者： J. Garcia-Frias , J.D. Villasenor
DOI: 10.1109/49.947032
关键词:
摘要: We describe a joint source-channel scheme for modifying turbo decoder in order to exploit the statistical characteristics of hidden Markov sources. The basic idea is treat trellis describing source as another constituent which exchanges information with other blocks. block uses extrinsic probability input bits that provided by On hand, it produces new estimation such will be used decoders. proposed decoding technique leads significantly improved performance relative systems statistics are not exploited and avoids need perform any explicit coding prior transmission. Lack priori knowledge parameters does degrade system, since these can jointly estimated decoding.
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