Wavelet-based Subspace Method for Blind Estimation of Time-Varying Channels

被引：0

作者：

Wang Yongchuan ^{[1
]}

Bian Yongqing ^{[2
]}

Jiang Tao ^{[1
]}

机构：

[1] Ordnance Engn Coll, Dept Opt & Elect Engn, Shijiazhuang 050003, Peoples R China

[2] Hebei Univ Econ & Business, Shijiazhuang 050061, Peoples R China

来源：

2007 INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS, NETWORKING AND MOBILE COMPUTING, VOLS 1-15 | 2007年

关键词：

Blind estimation; Time-varying channel; Subspace method; Wavelet expansion;

D O I：

10.1109/WICOM.2007.276

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

A novel linear algorithm is proposed in this paper for estimating time-varying channels only relying on second order statistics. The proposed methods are applicable to channels where time-varying impulse response can be described as a linear combination of a finite number of Wavelet basis junctions. It is shown that the estimation of the wavelet expansion coefficients is equivalent to estimating the second-order parameters of an unobservable single input many output process, which are directly computed from the observation data By exploiting this equivalence, blind subspace methods are applicable. Some illustrative simulations are presented

引用

页码：1079 / +

页数：2

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