Optimal channel ranking using multiple channel permutation for QRM-MLD

2016 IEEE Region 10 Conference (TENCON) Pub Date : 2016-11-01 DOI:10.1109/TENCON.2016.7848412

Ye Tiant, Takumi Saito, C. Ann

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引用次数: 1

Abstract

Recently, high quality data transmission system has been widely researched. To achieve the better BER performance, several detection schemes in Multiple-Input Multiple-Output (MIMO) system have been studied. In the MIMO system, Maximum-Likelihood Detection (MLD) yields the optimal BER performance. However, it requires enormous computational complexity. Regarding the problem of actual implementation, Maximum-Likelihood (ML) Detection with QR Decomposition and M-algorithm (QRM-MLD) has been proposed for reducing the system complexity. On the other hand, this detection shows a little worse BER performance than MLD. Since QRM-MLD is used with a fewer symbol replica candidates than MLD, the error in the former detection stage causes an increase of the error in the latter stage. In this paper, we propose an optimal permutation of the channel matrix using QR Decomposition. The proposed scheme arranges channel matrix optimally, thereby absolute values of the diagonal components in upper triangular matrix are arranged ascending order. From the simulation results, the proposed scheme can improve the BER performance compared with the conventional method.

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基于多信道排列的QRM-MLD最优信道排序

近年来，高质量的数据传输系统得到了广泛的研究。为了获得更好的误码率性能，研究了多输入多输出(MIMO)系统中的几种检测方案。在MIMO系统中，最大似然检测(MLD)可以获得最佳的误码率性能。然而，它需要巨大的计算复杂度。针对实际实现问题，提出了基于QR分解和m算法的最大似然(ML)检测(QRM-MLD)来降低系统复杂度。另一方面，该检测的误码率性能略低于MLD。由于QRM-MLD使用的符号副本候选数比MLD少，因此前一阶段的错误会导致后一阶段的错误增加。本文提出了一种基于QR分解的信道矩阵最优排列方法。该方案对信道矩阵进行最优排列，从而使上三角矩阵对角分量的绝对值按升序排列。仿真结果表明，与传统方法相比，该方案可以提高误码率。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2016 IEEE Region 10 Conference (TENCON)

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