Multi-model based channel estimation for doubly selective wireless fading channels - 文章详情页

作者：

Song, Zhi Kun (Song, Zhi Kun.) | Yang, Rui Zhe (Yang, Rui Zhe.) | Zhang, Li (Zhang, Li.) | Si, Peng Bo (Si, Peng Bo.) | Zhang, Yan Hua (Zhang, Yan Hua.) (学者：张延华)

收录：

EI Scopus

摘要：

In　the　wireless　communication　system,　the　traditional　single　model　channel　estimation　method　cannot　tack　the　complex　variability　of　the　doubly　selective　channels.　To　solve　this　problem,　in　this　paper,　a　multi-model　channel　estimation　scheme　is　proposed.　Based　on　basis　expansion　models　(BEMs)　of　different　kernel　functions,　the　multiple　models　set　for　the　doubly　selective　channel　estimation　is　established,　each　of　which　is　combined　with　the　sub-block　data　tracking　adaptive　filtering　estimator,　and　the　optimal　output　is　obtained　by　switching　to　the　estimator　having　the　minimum　estimated　error.　The　simulation　results　indicate　that　the　proposed　multi-model　channel　estimation　algorithm　can　effectively　track　the　complex　variability　of　the　channels　and　perform　well　in　NMSE.　©　2012　Springer-Verlag　Berlin　Heidelberg.

关键词：

Adaptive filtering Fading channels Adaptive filters Channel estimation

作者机构：

[ 1 ] [Song, Zhi Kun]College of Electronic Information and Control Engineering, Beijing University of Technology, Beijing 100124, China
[ 2 ] [Yang, Rui Zhe]College of Electronic Information and Control Engineering, Beijing University of Technology, Beijing 100124, China
[ 3 ] [Zhang, Li]College of Electronic Information and Control Engineering, Beijing University of Technology, Beijing 100124, China
[ 4 ] [Si, Peng Bo]College of Electronic Information and Control Engineering, Beijing University of Technology, Beijing 100124, China
[ 5 ] [Zhang, Yan Hua]College of Electronic Information and Control Engineering, Beijing University of Technology, Beijing 100124, China

通讯作者信息：

电子邮件地址：

songzhikun05@163.com

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