Blind Multipath Identification: A Weighted Linear Prediction Approach

作     者：WANG Bao-yun,ZHENG Bao-yu(Department of Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing 210003, P.R. China) 

作者机构：Department of Information Engineering Nanjing University of Posts and Telecommunications Nanjing 210003 

出 版 物：《The Journal of China Universities of Posts and Telecommunications》 (中国邮电高校学报（英文版）)

年 卷 期：2003年第10卷第4期

页      面：39-44页

核心收录：

学科分类：0711[理学-系统科学] 07[理学] 08[工学] 080401[工学-精密仪器及机械] 0804[工学-仪器科学与技术] 080402[工学-测试计量技术及仪器] 

基　　金：ThisworkissupportedbytheScientificResearchFundofNanjingUniversityofPostsandTelecommunications 

主　　题：linear prediction blind channel identification multipath channel 

摘      要：Blind channel identification exploits the measurable channel output signaland some prior knowledge of the statistics of the channel input signal. However, in many scenarios,more side information is available, In digital communication systems, the pulse-shaping filter inthe transmitter and the anti-aliasing filter in the receiver are often known to the *** of this prior knowledge can simplify the channel identification problem. In this paper,we pose the multipath identification problem as solving a group of linear equations. While we solvethe linear equations in the least-square meaning, a weight matrix can be introduced to improve theperformance of the estimator. The optimal weight matrix is derived. Compared with the existingLinear Prediction (UP) based multipath identification approach, the proposed approach offers asubstantial performance gain.