计算机工程2011，Vol.37Issue(12)：104-106,3.DOI:10.3969/j.issn.1000-3428.2011.12.035
基于自适应卡尔曼滤波的盲多用户检测算法
Blind Multi-user Detection Algorithm Based on Adaptive Kalman Filter
摘要
Abstract
This paper studies the blind multi-user detection algorithm of Code Division Multiple Access(CDMA) system under the condition with heavy Multiple Access Interference (MAI), proposes a new blind adaptive multi-user detection algorithm based on Kalman filter. The algorithm can estimate the unknown noise statistics characteristics on-line while conducting state filtering, and an efficient iterative implementation that provided very fast convergence under this representation is presented. Simulation results show that the new algorithm has the better tracking capability under the dynamic environment and convergence ability than Least Mean Square(LMS) algorithm and Recursive Least Squares(RLS) algorithm.关键词
直接序列扩频码分多址/多址干扰/盲多用户检测/自适应卡尔曼滤波Key words
Direct Sequence Code Division Multiple Access(DS-CDMA)/ Multiple Access Interference(MAI)/ blind multi-user detection/ adaptive Kalman filtering分类
信息技术与安全科学引用本文复制引用
高维廷,李辉,翟海天..基于自适应卡尔曼滤波的盲多用户检测算法[J].计算机工程,2011,37(12):104-106,3.基金项目
西北工业大学研究生创业种子基金资助项目(Z2010039) （Z2010039）
中国航天科技集团公司航天科技创新基金资助项目(CASC200902) （CASC200902）
