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A new blind signal separation algorithm for instantaneous MIMO system
conference contribution
posted on 2006-01-01, 00:00 authored by Nong Gu, Zhenying Guan, Saeid Nahavandi, Yong XiangYong XiangWe 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 - 5Publisher
IEEE XploreLocation
San Francisco, USAPlace of publication
Piscataway, N.J.Start date
2006-11-27End date
2006-12-01ISBN-13
9781424403578ISBN-10
142440357XLanguage
engNotes
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E1 Full written paper - refereedCopyright notice
2006, IEEETitle of proceedings
Communications: a global bridgeUsage metrics
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