基于协方差成形的多用户检测技术  

Multi-User Detection Based on Covariance Shaping

作　　者：常战非[1] 赵生妹[1] 

机构地区：[1]南京邮电大学信号处理与传输研究院,江苏南京210003

出　　处：《南京邮电大学学报（自然科学版）》2007年第4期60-64,共5页Journal of Nanjing University of Posts and Telecommunications：Natural Science Edition

基　　金：国家自然科学基金(60672133);江苏省基础研究计划(BK2006236);南京邮电大学校基金项目(NY206020)资助项目

摘　　要：协方差成形最小二乘估计器是量子信号处理框架内基于协方差成形方法的一种新型线性估计器。文中将协方差成形最小二乘估计器应用于多用户检测问题,通过数值计算方法对直接序列CDMA(码分多址)通信系统进行基于协方差成形的多用户检测算法研究,并与等同条件下其他几种次优线性检测算法相比较,仿真结果表明协方差成形多用户检测方法的性能优于传统MF和解相关检测方法,接近于MMSE(最小均方误差)检测方法,是一种性能优越的新型多用户检测技术,并且检测过程中无需知道信道的参数,仅依赖各用户的标记序列。Covariance shaping least squares estimator is a new kind of linear estimator based on covariance shaping in quantum signal processing （QSP） framework. In this paper, the eovarianee shaping least squares （CSLS） estimator is applied to multi-user detection that leads to a new detection algorithm, eovarianee shaping multi-user detection algorithm. The numerical simulations in synchronous DS-CDMA communication systems are evaluated and compared with other linear detection algorithms under the same condition. The results show that the performance of eovarianee shaping multi-user detection is better than that of traditional MF and deeorrelation detection, and is an approach to the MMSE detection method. Moreover, eovarianee shaping multi-user detection method depends only on the users＇ signatures and does not require any knowledge of the channel parameters.

关 键 词：量子信号处理 协方差成形 多用户检测 

分 类 号：TP183[自动化与计算机技术—控制理论与控制工程]