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A Systematic Space-Time Code Design and Its Maximum-Likelihood Decoding for Combined Channel Estimation and Error Correction

机译:组合信道估计和纠错的系统时空码设计及其最大似然解码

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Several previous works have confirmed that a joint design that combines channel estimation, channel coding and space-time transmission can improve the system performance over that of a separate design. These conclusions are however in general based on unstructured solutions obtained using computer search. The coding gain of these joint designs is therefore limited by both the computer-searchable "short" code length and the compromise between "suboptimal" performance and "high" complexity of their optimal decoding. At this background, we propose a systematic space-time code construction for joint channel estimation and error correction for a two-transmit-antenna and half-rate system. Also proposed is its maximum-likelihood decoder that follows a priority-first search principle. Our systematic code construction, together with a fairly low-complexity optimal decoder, then allows one to work with longer codes with no sacrifice in performance. For codes of short block length, our simulations illustrate that the codes we propose have comparable performance to the best computer-searched codes. For codes of long block lengths that are almost beyond the searchable range of existing computer systems, our codes are still better than some reference designs based on separate channel estimation and error correction components.
机译:以前的几项工作证实,结合信道估计,信道编码和时空传输的联合设计可以通过单独的设计来改善系统性能。然而,这些结论通常基于使用计算机搜索获得的非结构化解决方案。因此,这些关节设计的编码增益受到计算机可搜索的“短”代码长度和“次优”性能之间的折衷和其最佳解码的“高”复杂性。在此背景下,我们提出了一种系统时空时间码结构,用于双发射天线和半速率系统的联合信道估计和纠错。还提出了其最大似然解码器,其遵循优先级的首先搜索原则。我们的系统代码建设以及相当低的复杂性最佳解码器,然后允许一个人使用更长的代码,没有牺牲性能。对于短块长度的代码,我们的模拟说明了我们提出的代码对最佳计算机搜索代码具有可比性。对于几乎超出现有计算机系统的可搜索范围的长块长度的代码,我们的代码仍然基于单独的信道估计和纠错组件的参考设计。

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