Low Complexity Soft Decoding With Superposition of Hard Decision Vectors in Lattice Reduction-Aided Linear Receivers
Low Complexity Soft Decoding With Superposition of Hard Decision Vectors in Lattice Reduction-Aided Linear Receivers
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DOI：
10.1109/pimrc54779.2022.9977505
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发表时间：
2022-09
期刊：
影响因子：
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通讯作者：
S. Denno;Koki Kashihara;Yafei Hou
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文献类型：
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作者：
S. Denno;Koki Kashihara;Yafei Hou
本文提出了一种新的方法，低复杂度的软输入解码格约简辅助MIMO接收机。所提出的方法饲料软输入解码器与软信号从硬决策信号产生的使用格约简辅助线性检测器。软信号是由格基约简辅助线性检测器输出的硬判决信号附近的一些候选向量的加权和。本文提出了一种自适应信道调整权值的方法，以获得更高的传输性能。在4x 4 MIMO信道中评估传输性能。当串行干扰消除器被用作线性检测器时，所提出的技术在BER为10-5时比用硬判决信号馈送的解码器实现了约2.0 dB的更好的传输性能，即使所提出的软输入解码可以以小的附加复杂度来实现。
This paper proposes a novel approach to low complexity soft input decoding for lattice reduction-aided MIMO receivers. The proposed approach feeds a soft input decoder with soft signals made from hard decision signals generated by using a lattice reduction-aided linear detector. The soft signal is a weighted-sum of some candidate vectors that are near by the hard decision signal coming out from the lattice reduction-aided linear detector. This paper proposes a technique to adjust the weight adapt to the channel for the higher transmission performance. The transmission performance is evaluated in a 4 x 4 MIMO channel. When a serial interference canceller is used as the linear detector, the proposed technique achieves about 2.0 dB better transmission performance at the BER of 10-5 than the decoder fed with the hard decision signals, even though the proposed soft input decoding can be implemented with small additional complexity.