基于Gram-Schmidt的低复杂度格约简辅助检测

C. M. Kinoshita, Wei Hou, Yusuke Sasaki, T. Fujino
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引用次数: 1

摘要

在多输入多输出(MIMO)通信中,提出了一种基于Gram-Schmidt (GS)过程的低复杂度格降辅助检测(LRAD)。传统的LRAD采用LLL算法使信道矩阵的列向量接近于正交,从而获得了良好的误码率。该检测方法先用LLL算法对信道矩阵的列向量进行相互纯正交的降维,再用GS过程进行降维,实现了比传统LLL算法更可靠的传输信号估计。该方法检测的误码率曲线比传统的LRAD更陡,且复杂度较低。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A low complexity lattice reduction aided detection based on Gram-Schmidt
In this paper, we proposes a low-complexity lattice-reduction aided detection (LRAD) based on the Gram-Schmidt (GS) procedure in multi-input multi-output (MIMO) communications. The conventional LRAD achieves good bit error ratios (BERs) because it reduces the column vectors of the channel matrix close to orthogonal using LLL Algorithm. The proposed detection method reduces the column vectors of the channel matrix mutually purely orthogonal using the LLL algorithm and then the GS procedure, and achieve more reliable estimation of the transmitted signals than the conventional LLL algorithm. The BER curves for the proposed detection is steeper than the conventional LRAD with low complexity.
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