Blind equalization method of MIMO communication systems based on elementary matrix transformation

Author

Liu, Qianlei ; Yang, Luxi

Author_Institution

Dept. of Radio Eng., Southeast Univ., Nanjing, China

Volume

2

fYear

2003

fDate

14-17 Dec. 2003

Firstpage

1417

Abstract

Blind channel equalization is a candidate approach to increase the bandwidth efficiency of multiple-input multiple-output (MIMO) communication systems and attracts many researches. In this paper, a novel blind MIMO equalization method for the row diagonally dominant channel matrix is proposed. It is based on the elementary matrix transformation and uses only statistics of source signals to realize blind signal separation. By multiplying the received signal vector by a sequence of elementary matrices which are estimated in the blind manner, the MIMO channel equalization can be achieved in the receiver. The simulation results show that the proposed blind equalization method separates the source signals effectively and gets a BER performance close to that of the optimum zero-forcing equalizer.

Keywords

MIMO systems; blind equalisers; blind source separation; telecommunication; MIMO channel equalization; MIMO communication systems; bit error rate; blind equalization method; blind signal separation; elementary matrix transformation; multiple input multiple output communication systems; signal vector; source signal statistics; zero forcing equalizer; Bandwidth; Bit error rate; Blind equalizers; Blind source separation; Digital signal processing; MIMO; Matrix decomposition; Receiving antennas; Signal restoration; Statistics;

fLanguage

English

Publisher

ieee

Conference_Titel

Neural Networks and Signal Processing, 2003. Proceedings of the 2003 International Conference on

Conference_Location

Nanjing

Print_ISBN

0-7803-7702-8

Type

conf

DOI

10.1109/ICNNSP.2003.1281139

Filename

1281139