A new blind signal separation algorithm for instantaneous MIMO system
Gu, Nong, Guan, Zhenying, Nahavandi, Saeid and Xiang, Yong 2006, A new blind signal separation algorithm for instantaneous MIMO system, in Communications: a global bridge, IEEE Xplore, Piscataway, N.J., pp. 1-5.
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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.
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