Hybrid Hard/Soft Interference Cancellation Based on List Viterbi Decoding

Wanlun Zhao, Renqiu Wang, G. Giannakis
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Abstract

A convolutionally coded multiple-input multiple-output system equipped with CRC error detection is considered. For each convolutional code, the list Viterbi algorithm (LVA) is employed to find a list of promising codewords. CRC code is used not only to select a correct one from this list; but also to control the switching between hard-decision feedback and soft interference cancellation. Further, bit-level soft information is generated with low complexity, albeit approximately, using the same codeword list returned by LVA. Simulations confirm that this hybrid hard/soft interference cancellation scheme achieves enhanced error performance relative to existing hard-decision approaches at a comparable complexity
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基于List Viterbi译码的硬/软混合干扰消除
研究了一种具有CRC错误检测功能的卷积编码多输入多输出系统。对于每个卷积码,采用list Viterbi算法(LVA)找到一个有希望的码字列表。CRC码不仅用于从这个列表中选择一个正确的;同时控制硬决策反馈和软干扰消除之间的切换。此外,使用LVA返回的相同码字列表,以较低的复杂度生成位级软信息。仿真结果表明,与现有的硬决策方法相比,这种硬/软混合干扰抵消方案在相当的复杂度下获得了更高的误差性能
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