重庆邮电大学学报（自然科学版）2011，Vol.23Issue(4)：411-414,4.DOI:10.3979/j.issn.1673-825X.2011.04.007
基于信号结构重构的UWB稀疏信道盲估计
New sparse blind channel estimation for UWB systems based on shaping signal structure
摘要
Abstract
A novel blind sparse channel estimation algorithm is proposed for TH-PPM ultra wide-band communications. Firstly, the nonlinear structure of transmit signal and information symbol is transformed into the linear model which simplifies the complexity of signal processing. Secondly the relationship between first-order statistics vector of received signal and channel parameter vector is derived based on the shaping signal structure . Then the sparse and cluster structure of UWB channel is used to avoid non-important zero taps' estimation which promotes the performance of channel estimation. Simulation results demonstrate that the MSE performance of the new algorithm is superior to first order statistical methods for blind channel identification, also its BER performance is only about ldB worse than the ideal channel.关键词
超宽带(UWB)/信号结构重构/信道估计/跳时脉冲位置调制(TH-PPM)Key words
ultra wide band( UWB)/shaping signal structure/channel estimation/time hopping pulse position modulation(TH-PPM)分类
信息技术与安全科学引用本文复制引用
张文科,杨超,朱行涛..基于信号结构重构的UWB稀疏信道盲估计[J].重庆邮电大学学报（自然科学版）,2011,23(4):411-414,4.基金项目
重庆市科委自然科学基金(CSTC,2009BB2028) （CSTC,2009BB2028）
