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Iterative equalization/decoding of TCM for frequency-selective fading channels

机译:频率选择性衰落通道TCM的迭代均衡/解码

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The severity of frequency-selective fading channels necessitates the combining of multiple diversity sources to achieve acceptable performance. Traditional techniques often perform the combining of different sources of diversity separately which may result in a significant performance degradation (uncoded systems, for example, outperform TCM codes when used in an interleaved frequency-selective fading channel with separate decoding and equalization). It was demonstrated that soft decision equalization techniques are necessary and sufficient for the application of TCM techniques over such channels. This enabling feature was obtained with relatively simple, low-latency, non-iterative algorithms. We investigate the applicability of more complex iterative equalization/decoding algorithms. Several configurations are examined using simulation and further improvements are demonstrated.
机译:频率选择性衰落通道的严重程度需要组合多个分集来源来实现可接受的性能。 传统技术经常分别执行不同的多样性源的组合,其可能导致显着的性能劣化(例如未编码的系统,例如,当在具有单独解码和均衡的交错频率选择衰落信道中使用时,例如,当使用时越突出的TCM代码)。 据证明,软判决均衡技术是必要的并且足以在这些通道上施加TCM技术。 使用相对简单,低延迟,非迭代算法获得此启用功能。 我们研究了更复杂的迭代均衡/解码算法的适用性。 使用模拟检查几种配置,并进行进一步的改进。

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