An Efficient Hybrid Sphere Decoding Algorithm for MIMO Systems

Hsiao-Lan Chiang, Sau-Gee Chen
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引用次数: 7

Abstract

For MIMO data detection methods, sphere decoding (SD) algorithms have been shown to achieve similar performance to the maximum-likelihood detection (MLD) algorithm with acceptable computational complexity. Based on different search strategies, SD can be divided into two parts: depth-first search SD and breadth-first search SD. In this work, by combining the advantages of these two search schemes, we propose a novel hybrid sphere decoding to effectively reduce the complexity. Besides, a layer reordered method is adopted to improve the performance. Compared with other SD algorithms, the proposed one has not only good performance but also lower complexity.
一种高效的MIMO系统混合球译码算法
对于MIMO数据检测方法,球面解码(SD)算法已被证明可以在可接受的计算复杂度下实现与最大似然检测(MLD)算法相似的性能。根据搜索策略的不同,SD可分为深度优先搜索SD和宽度优先搜索SD两部分。本文结合这两种搜索方案的优点,提出了一种新的混合球解码方案,有效降低了算法的复杂度。此外,还采用了层重排序的方法来提高性能。与其他SD算法相比,该算法不仅性能好,而且复杂度低。
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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