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引用次数: 1

摘要

先前使用迭代(turbo)解码技术的进展使得编码不仅接近加性高斯白噪声(AWGN)信道的香农极限,而且在实践中也很容易实现。原始的turbo码包括一对编码器,由交织器分隔并并行连接。由Benedetto等人开发的新涡轮码。上。通讯,第44卷,第7号。(5, p.591-600, 1996)包括一对卷积编码器,也由交织器分隔,但串行连接。我们将Benedetto等人的工作扩展到串行连接网格编码调制(SCTCM)。我们利用均匀交织器的概念确定了最大似然解码的Bhattacharyya界。这个界限使我们能够确定可用于开发系统代码设计策略的关键参数。我们讨论了这些结果和界的准确性。
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Performance bounds for serially-concatenated trellis-coded modulation
Previous advances using iterative (turbo) decoding techniques have resulted in codes that not only approach the Shannon limit for additive white Gaussian noise (AWGN) channels but are also readily implemented in practice. The original turbo codes include a pair of encoders separated by an interleaver and concatenated in parallel. New turbo codes developed by Benedetto et al. (see IEEE Trans. on. Communications, vol.44, no.5, p.591-600, 1996) include a pair of convolutional encoders also separated by an interleaver but concatenated serially. We extend the work of Benedetto et al. to serially-concatenated trellis-coded modulation (SCTCM). We determine the Bhattacharyya bound for maximum-likelihood decoding using the concept of the uniform interleaver. This bound enables us to determine the key parameters that can be used to develop a systematic code design strategy. We discuss both these results and the accuracy of the bound.
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