Modified Sphere Detection algorithm with decreased bit error rate and lower complexity

F. E. Hosseini, A. Salahi, S. Shirvani
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引用次数: 2

Abstract

There are many maximum likelihood (ML) solutions to the detection problem for multiple-input multiple-output systems (MIMO). Recently, sphere detection (SD) method has been used as a powerful mean to find ML point. This method searches closest lattice point using number theory tools. Several algorithms for SD method were presented and among them, the algorithm II is an efficient one. In different papers, some adjustments to this algorithm were proposed to reduce its complexity. In this paper, to improve the performance and to reduce the complexity of algorithm II, two suggestions are proposed. Simulation results, confirm the improvements over the last version of this algorithm.
改进的球体检测算法,降低了误码率,降低了复杂度
多输入多输出系统(MIMO)的检测问题有许多最大似然(ML)解决方案。近年来,球面检测(SD)方法作为一种有效的检测ML点的方法得到了广泛的应用。该方法利用数论工具搜索最近的点阵点。给出了SD方法的几种算法,其中算法II是一种有效的算法。在不同的论文中,对该算法进行了一些调整,以降低其复杂性。为了提高算法II的性能并降低算法II的复杂度,本文提出了两点建议。仿真结果证实了该算法较上一版本的改进。
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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