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

Content Provider	IEEE Xplore Digital Library
Author	Qianlei Liu Luxi Yang
Copyright Year	2003
Description	Author affiliation: Dept. of Radio Eng., Southeast Univ., Nanjing, China (Qianlei Liu; Luxi Yang)
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.
Sponsorship	IEEE Circuits and Syst. Soc. (CASS) IEEE R10 CASS IEEE Beijing Section Chinese Neural Networks Council Circuits and Information Processing Committee, CASS-CIE Southeast Univ., China
Starting Page	1417
Ending Page	1420
File Size	240416
Page Count	4
File Format	PDF
ISBN	0780377028
DOI	10.1109/ICNNSP.2003.1281139
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2003-12-14
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Blind equalizers Signal restoration Bit error rate Receiving antennas Digital signal processing Bandwidth MIMO Blind source separation Matrix decomposition Statistics
Content Type	Text
Resource Type	Article

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