Low complexity sphere decoding algorithm for spatial modulation signals

WANG Ben; ZHANG Wenbin; ZHAO Honglin

doi:10.11918/j.issn.0367-6234.201607101

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Low complexity sphere decoding algorithm for spatial modulation signals

更新时间：2026-10-19

- Low complexity sphere decoding algorithm for spatial modulation signals
- Vol. 49, Issue 5, Pages: 2017-5(2017)
- 作者机构：
  
  哈尔滨工业大学通信技术研究所,哈尔滨,150001
- 作者简介：
- 基金信息：
- DOI：10.11918/j.issn.0367-6234.201607101
  CLC： TN911.3
- Published：2017
- 稿件说明：
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WANG Ben, ZHANG Wenbin, ZHAO Honglin. Low complexity sphere decoding algorithm for spatial modulation signals[J]. 2017, 49(5): 2017-5.
DOI：

WANG Ben, ZHANG Wenbin, ZHAO Honglin. Low complexity sphere decoding algorithm for spatial modulation signals[J]. 2017, 49(5): 2017-5. DOI： 10.11918/j.issn.0367-6234.201607101.

摘要

为进一步降低球型译码算法 (SM-SD) 的复杂度，同时不影响算法的误比特性能，提出一种SM-SD算法，采用了不同于目前存在的SM-SD算法的复变量实数化方式，具有独特的搜索树结构，搜索树的相邻两层相互独立.分析了新算法的原理及搜索过程，通过矩阵运算理论分析了几种SM-SD算法的运算复杂度，然后在不同的空间调制系统中对SM-SD算法的误比特性能和运算复杂度进行仿真.理论分析和仿真结果表明：新算法的性能接近于最大似然算法，运算复杂度低于已有的各种类型的球型译码算法，因此更加适合于检测空间调制信号.

Abstract

In order to reduce more complexity while maintaining a good bit error rate performance

a new SM-SD algorithm is proposed. The new SM-SD algorithm employs a different real-valued equivalent transformation from existing sphere decoding algorithms

and it has a unique search tree structure

the adjacent two layers of the search tree are independent of each other. The principle and process of the new algorithm are analyzed

and the computation complexity of SM-SD algorithms is compared by the matrix analysis. Then

the bit error rate and computational complexity of SM-SD algorithms are compared by simulation in different SM systems. Theoretical analysis and simulation results show that the new SM-SD algorithm has a very close performance to Maximum-Likelihood optimum detection

with lower computational complexity than other existing SM-SD algorithms. Thus

the new SM-SD algorithm is more suitable for SM signals detection.

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