Blind Multiuser Receivers for ISI CDMA Channels Using the ε-Approximation Algorithms  

作　　者：ZHANGZhi-Yong LINGYun 

机构地区：[1]DepartmentofElectronicEngineering,NanjingUniversityofPostsandTelecommunications,Najing21003,P.R.China [2]DepartmentofElectronicEngineering,NanjingUniversityofPostsandTelecommunications,Najing21003,P.R.Ch

出　　处：《The Journal of China Universities of Posts and Telecommunications》2002年第4期33-37,共5页中国邮电高校学报（英文版）

基　　金：TheworkissupportedbyNNSFofP.R .China(No.60 1 72 0 58)

摘　　要：The problem of the blind demodulation of multiuser information symbols in ahigh-rate Code Division Multiple Access (CDMA) network in the presence of InterSymbol Interference(ISI) is of considerable interest. The dispersive CDMA channel is first cast into a Multiple-InputMultiple-Out (MIMO) signal model framework. Then , the problem of the blind channel equalization andmultiuser detection is considered. In this paper, we formulate the problem of blind channelestimation and signal detection into a quadratic programming with binary constraints. Then, theefficient ε-approximation algorithms are presented and applied to find the solution to thequadratic programming. The proposed approach does not estimate the channel directly or rely on anystatistics . Simulation results support our theoretical analysis .The problem of the blind demodulation of multiuser information symbols in ahigh-rate Code Division Multiple Access (CDMA) network in the presence of InterSymbol Interference(ISI) is of considerable interest. The dispersive CDMA channel is first cast into a Multiple-InputMultiple-Out (MIMO) signal model framework. Then , the problem of the blind channel equalization andmultiuser detection is considered. In this paper, we formulate the problem of blind channelestimation and signal detection into a quadratic programming with binary constraints. Then, theefficient ε-approximation algorithms are presented and applied to find the solution to thequadratic programming. The proposed approach does not estimate the channel directly or rely on anystatistics . Simulation results support our theoretical analysis .

关 键 词：ε-approximation algorithms high-rate CDMA ISI channel MIMO 

分 类 号：TN914.53[电子电信—通信与信息系统]