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

机译:频率选择衰落信道的TCM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:频率选择衰落信道的严重性使得必须组合多个分集源才能获得可接受的性能。传统技术经常分别执行不同分集源的组合,这可能会导致性能显着下降(例如,未编码系统,例如,在具有独立解码和均衡功能的交错式频率选择性衰落信道中使用时,性能将胜过TCM码)。事实证明,软判决均衡技术对于在此类信道上应用TCM技术是必要且充分的。此启用功能是通过相对简单,低延迟的非迭代算法获得的。我们研究了更复杂的迭代均衡/解码算法的适用性。使用仿真检查了几种配置,并展示了进一步的改进。

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