Blind MIMO FIR Channel Identification by Exploiting Channel Order Disparity

Author

Fang, Jun ; Leyman, A. Rahim ; Chew, Yong Huat

Author_Institution

Dept. of Electr. & Comput. Eng., Nat. Univ. of Singapore

Volume

4

fYear

2006

fDate

14-19 May 2006

Abstract

In this paper, we consider the problem of blind multiple-input multiple-output (MIMO) finite impulse response (FIR) channel identification driven by spatially uncorrelated and temporally white input signals. A method that can entirely identify the MIMO channel based only on the second-order statistics (SOS) of the observed data is proposed. The complete identification of the convolutive mixture is accomplished by exploiting the diversity of the channel orders. The uniqueness of the proposed solution is proved. Numerical simulation results are presented to illustrate the performance of the proposed algorithm

Keywords

MIMO systems; Toeplitz matrices; channel estimation; convolution; statistics; blind MIMO FIR channel identification; channel order disparity; finite impulse response channel identification; multiple-input multiple-output channel identification; second-order statistics; spatially uncorrelated signals; temporally white input signals; Finite impulse response filter; Higher order statistics; MIMO; Mobile communication; Numerical simulation; Signal analysis; Signal processing; Signal processing algorithms; Speech enhancement; Wireless communication;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech and Signal Processing, 2006. ICASSP 2006 Proceedings. 2006 IEEE International Conference on

Conference_Location

Toulouse

ISSN

1520-6149

Print_ISBN

1-4244-0469-X

Type

conf

DOI

10.1109/ICASSP.2006.1661005

Filename

1661005