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Joint turbo decoding and estimation of hidden Markov sources

机译:联合Turbo解码和隐马尔可夫源估计

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We describe a joint source-channel scheme for modifying a turbondecoder in order to exploit the statistical characteristics of hiddennMarkov sources. The basic idea is to treat the trellis describing thenhidden Markov source as another constituent decoder which exchangesninformation with the other constituent decoder blocks. The source blocknuses as extrinsic information the probability of the input bits that isnprovided by the constituent decoder blocks. On the other hand, itnproduces a new estimation of such a probability which will be used asnextrinsic information by the constituent turbo decoders. The proposednjoint source-channel decoding technique leads to significantly improvednperformance relative to systems in which source statistics are notnexploited and avoids the need to perform any explicit source codingnprior to transmission. Lack of a priori knowledge of the sourcenparameters does not degrade the performance of the system, since thesenparameters can be jointly estimated with turbo decoding
机译:我们描述了一种联合的信源信道方案,用于修改turbondecoder,以便利用hiddennMarkov源的统计特征。基本思想是将描述当时隐藏的马尔可夫源的网格视为另一个与其他组成解码器块交换信息的组成解码器。源块将构成解码器块提供的输入位的概率作为外部信息。另一方面,它产生了这种概率的新估计,它将被构成turbo解码器用作非本征信息。相对于未利用源统计信息的系统,提出的联合源信道解码技术可显着提高性能,并避免了在传输之前进行任何显式源编码的需求。缺少源参数的先验知识不会降低系统性能,因为可以通过Turbo解码联合估算参数

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