基于稀疏特性的TH-PPM UWB信道估计算法  

Channel estimation algorithm for TH-PPM UWB systems based on channel sparsity

作　　者：黄贻培[1] 游晓容[2] 

机构地区：[1]重庆科创职业学院,重庆402160 [2]重庆大学通信工程学院,重庆400044

出　　处：《重庆邮电大学学报（自然科学版）》2010年第1期23-26,共4页Journal of Chongqing University of Posts and Telecommunications(Natural Science Edition)

基　　金：国家自然科学基金资助(60672157;60672158)

摘　　要：在TH-PPM UWB系统中,利用信道的稀疏簇特性,提出一种新的UWB(ultra wide-band)信道估计算法。该算法首先对原始信道进行信道缩短,有效地克服了信道过长给估计精度带来的影响,然后基于缩短后的复合信道,利用UWB信道的稀疏性,对原始UWB信道进行估计,避免了无谓的零值抽头估计,改善了算法的性能。仿真结果表明,当信道长度大于符号长度时,新算法可以获得较好的估计性能。A novel channel estimation algorithm based on channel sparsity was proposed for TH-PPM ultra wide-band （UWB） communications. In this algorithm, the channel shortening was used to cancel the un-correct channel estimation. Then, the sparse structure property of UWB channel was used to estimate the UWB channel based on the channel estimated after channel shortening, which avoids unimportant zero taps＂ estimation and promotes the performance of the algorithm. Simulation results demonstrate that the new algorithm has good performance when the length of symbol is shorter than the length of channel.

关 键 词：UWB 信道缩短 稀疏信道 信道估计 

分 类 号：TN911.5[电子电信—通信与信息系统]