计算机应用研究2017，Vol.34Issue(5)：1452-1454,3.DOI:10.3969/j.issn.1001-3695.2017.05.039
球形译码算法在信号空间分集系统中的应用研究
Application of sphere decoding algorithm in signal space diversity system
摘要
Abstract
Aiming at the problem of high complexity of the maximum likelihood detection algorithm in the signal space diversity system,this paper used sphere decoding algorithm as the receiver detecting algorithm,whose performance was as good as the maximum likelihood algorithm,which reduced the complexity of the receiver in signal space diversity system.This paper used the minimum mean square error algorithm to lower the received signal noise so as to reduce the complexity caused by the noise point searching.The algorithm complexity was further reduced by speeding up the search radius constriction with attenuation factor k,which made receiver better.The simulation results show that sphere decoding algorithm in signal space diversity system can reduce the complexity of the receiver,and the improved sphere decoding detection time in low signal to noise ratio is about traditional sphere decoding algorithm of 12％ ～33％.Therefore,the sphere decoding algorithm can reduce the receiver signal space diversity detection system complexity effectively.关键词
信号空间分集/旋转矩阵/球形译码/最小均方误差Key words
signal space diversity(SSD)/rotation matrix/sphere decoding(SD)/minimum mean square error(MMSE)分类
信息技术与安全科学引用本文复制引用
李瑞,柏鹏,彭卫东,林志国,林思铭..球形译码算法在信号空间分集系统中的应用研究[J].计算机应用研究,2017,34(5):1452-1454,3.基金项目
国家自然科学基金资助项目(6150051163) （6150051163）
