一种改进的栅格减少辅助MIMO检测的量化方案

Tien Due Nguyen, T. Fujino, X. Tran
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引用次数: 2

摘要

晶格还原辅助(LRA)是Yao和Wornell最近提出的一种新型MIMO探测器。然而,LRA检测器的量化步骤只是次优的。为了减小量化误差的影响,本文提出了一种列表量化方案。该方法是由原始LRA估计符号生成候选符号列表。仿真结果表明,在附加复杂度较小的情况下,可以获得较好的性能。具有列表量化的LRA-MMSE在4-QAM和16-QAM调制两种情况下的性能都非常接近ML性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An improved quantization scheme for lattice-reduction aided MIMO detection
Lattice reduction aided (LRA) has been introduced recently by Yao and Wornell as a new type of MIMO detector. However, the quantization step of LRA detector is only suboptimal. In this paper, we propose a list quantization scheme to reduce the effect of quantization error. The method is to generate a list of candidate symbols from the original LRA estimated symbol. The simulation shows that improved performance can be obtained while additional complexity is reasonable small. The performance of LRA-MMSE with list quantization is shown to be very close to ML performance in both case, 4-QAM and 16-QAM modulation.
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