Simplifed Maximum Likelihood Channel Estimation Algorithm for Impulse Radio UWB

被引：0
|
作者：
Wang, Feng [1 ]
Xu, Chengqi [1 ]
Ji, Xuande [2 ]
Zhang, Yan [1 ,3 ]
机构：
[1] Nanjing Univ Posts & Telecommun, Coll Telecommun & Informat Engn, Nanjing, Peoples R China
[2] Luoyang Inst Sci & Technol, Dept Automat, Luoyang, Peoples R China
[3] Nanjing Univ Posts & Telecommun, Coll Telecommun & Informat Engn, Nanjing, Peoples R China
来源：
2008 4TH INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS, NETWORKING AND MOBILE COMPUTING, VOLS 1-31 | 2008年
关键词：
maximum likelihood (ML); channel estimation; unstructure channel; TH-BPSK; UWB;
D O I：
暂无
中图分类号：
TN [电子技术、通信技术];
学科分类号：
0809 ;
摘要：
The maximum likelihood (ML) approach is a classical approach to the channel estimation problem. However, without reducing the number of parameters, the complexity is prohibitive. This paper proposes a (data-aided) DA simplified ML channel estimation algorithm based on unstructured channel model and time-hopping binary phase shift keying (TH-BPSK) modulation for impulse radio (IR) UWB systems. This approach need not estimate the multipath propagation delays and its complexity is reduced evidently. The computer simulations have been run to verify this approach proposed in this paper.
引用
收藏
页码：1075 / +
页数：2
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