Blind MIMO FIR channel identification based on second-order spectra correlations

被引：22

作者：

Bradaric, I ^{[1
]}

Petropulu, AP

Diamantaras, KI

机构：

[1] Drexel Univ, Dept Elect & Comp Engn, Philadelphia, PA 19104 USA

[2] Technol Educ Inst Thessaloniki, Dept Informat, GR-54101 Sindos, Greece

来源：

IEEE TRANSACTIONS ON SIGNAL PROCESSING | 2003年 / 51卷 / 06期

基金：

美国国家科学基金会;

关键词：

blind channel estimation; frequency domain estimation; MIMO system;

D O I：

10.1109/TSP.2003.811234

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：

We consider a problem of identifying a multiple-input multiple-output (MIMO) finite impulse response (FIR) system excited by colored inputs with known statistics. We propose a new, nonlinear optimization-based method that involves the power spectra and cross-spectra of the system output. The proposed algorithm is tested for the case of cyclostationary inputs (CDMA scenario) and stationary inputs (SDMA scenario). Simulation results indicate that the proposed scheme works well, even for large order systems, and is robust to noise and channel length mismatch.

引用

页码：1668 / 1674

页数：7

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