数据采集与处理2011，Vol.26Issue(4)：385-389,5.
信号空间分集中向量高斯近似算法的改进
Improvement and Analysis of Vector Gaussian Approximation in Signal Space Diversity
摘要
Abstract
Focused on the performance improvement of receiver detection algorithm using signal space diversity, three aspects in the original algorithm are modified based on vector Gaussian approximation algorithm, including the calculation methods of probability expectation and variance with regarding to each symbol, the information dependence relationship in soft interference cancellation of the given symbol, and calculation of the probability density function. Therefore, the complexity of the algorithm is reduced and the system performance to resist delay is improved. According to simulation results and performance analysis by the new modified algorithm, under the condition of Rayleigh channels while lattice dimension N=16 and iteration number Iter=6, the BER curve is close to the ideal boundary. When bit error rate BER = 10-5, the performance gap between the Rayleigh fading channel and the Gaussian channel is only 0. 2 dB. In high delay requirement system, there is no degrading space for BER when the iteration number is four.关键词
信号空间分集/格栅/向量高斯近似Key words
signal space diversity/lattice/vector Gaussian approximation分类
电子信息工程引用本文复制引用
冯文江,王茹茹,陈栋才,刘震..信号空间分集中向量高斯近似算法的改进[J].数据采集与处理,2011,26(4):385-389,5.基金项目
国家自然科学基金(60872038)资助项目 （60872038）
重庆市自然科学基金重点(CSTC2009BA2064)资助项目 （CSTC2009BA2064）
国家“211工程”三期建设(S-09102)资助项目 （S-09102）
