文献类型：期刊文献

中文题名：一种基于卡尔曼滤波的改进多用户检测算法

英文题名：An Improved Multi-User Detector Based on Kalman Filter

作者：刘辉[1];赵乐军[1]

机构：[1]华东理工大学信息科学与工程学院,上海200237

年份：2006

卷号：32

期号：11

起止页码：1337

中文期刊名：华东理工大学学报（自然科学版）

外文期刊名：Journal of East China University of Science and Technology

收录：CSTPCD;;Scopus;北大核心:【北大核心2004】；CSCD:【CSCD2011_2012】；

语种：中文

中文关键词：多用户检测;异步高斯信道模型;多径衰落信道模型;卡尔曼滤波;“远-近”效应

外文关键词：multi-user detection; asynchronous Gauss channel; multi-path fading channel; Kalman filtering; ＂near-far＂ resistance

摘要：总结了DS-CDMA系统的异步高斯信道模型和多径衰落信道模型,重点讨论了用状态空间方程表述多径衰落信道模型的方法,并采用卡尔曼滤波的递推算法求出每个用户每条路径上的状态估计。针对期望用户,对属于同一个码元的所有状态估计求和,接着进行最大比合并再判决。最后对两种信道模型进行算法仿真,分析其收敛性和抗“远-近”效应的性能。结果表明本文给出的算法收敛速度快,并且能有效地抑制“远-近”效应。
Models of asynchronous Gauss channel and multi-path fading channel are introduced. And a state-space model is applied to the latter multi-user CDMA system channel model, according to which a multi-user detector based on Kalman filter is proposed. Estimation of state vector using the Kalman filter yields state estimates of every path of each user. To detect the expected user＇s symbol, the sum of the state estimates in a symbol interval is calculated and then maximum ratio combination is applied for the following decision. Through simulations, we also analyze the algorithm＇s performances of convergence and anti-＂ near-far＂ resistance. Simulation results demonstrate the proposed detector has an advantage of fast convergence, and can effectively restrain the ＂near-far＂ resistance.