Multidimensional rank reduction estimator for parametric MIMO channel models

被引:51
作者
Pesavento, M [1 ]
Mecklenbräuker, CF
Böhme, JF
机构
[1] Ruhr Univ Bochum, Lehrstuhl Signaltheorie, D-44780 Bochum, Germany
[2] FTW, A-1220 Vienna, Austria
关键词
array processing; rank reduction; MIMO; channel sounder; ESPRIT;
D O I
10.1155/S1110865704401036
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
A novel algebraic method for the simultaneous estimation of MIMO channel parameters from channel sounder measurements is developed. We consider a parametric multipath propagation model with P discrete paths where each path is characterized by its complex path gain, its directions of arrival and departure, time delay, and Doppler shift. This problem is treated as a special case of the multidimensional harmonic retrieval problem. While the well-known ESPRIT-type algorithms exploit shift-invariance between specific partitions of the signal matrix, the rank reduction estimator (RARE) algorithm exploits their internal Vandermonde structure. A multidimensional extension of the RARE algorithm is developed, analyzed, and applied to measurement data recorded with the RUSK vector channel sounder in the 2 GHz band.
引用
收藏
页码:1354 / 1363
页数:10
相关论文
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