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A new blind signal separation algorithm for instantaneous MIMO system

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conference contribution
posted on 2006-01-01, 00:00 authored by Nong Gu, Zhenying Guan, Saeid NahavandiSaeid Nahavandi, Yong XiangYong Xiang
We address the problem of adaptive blind source separation (BSS) from instantaneous multi-input multi-output (MIMO) channels. In this paper, we propose a new constant modulus (CM)-based algorithm which employ nonlinear function as the de-correlation term. Moreover, it is shown by theoretical analysis that the proposed algorithm has less mean square error (MSE), i.e., better separation performance, in steady state than the cross-correlation and constant modulus algorithm (CC-CMA). Numerical simulations show the effectiveness of the proposed result.

History

Event

Global Telecommunications Conference (GLOBECOM) (2006 : San Francisco, U.S.A.)

Pagination

1 - 5

Publisher

IEEE Xplore

Location

San Francisco, USA

Place of publication

Piscataway, N.J.

Start date

2006-11-27

End date

2006-12-01

ISBN-13

9781424403578

ISBN-10

142440357X

Language

eng

Notes

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Publication classification

E1 Full written paper - refereed

Copyright notice

2006, IEEE

Title of proceedings

Communications: a global bridge