A constrained version of fitting PDF algorithm for blind source separation

An adaptive multiuser constrained version of a fitting probability density function (PDF) algorithm (FPA) for source separation is proposed. The novel algorithm is derived from the multiuser kurtosis (MUK) procedure proposed in the literature. In fact, the proposed approach may be viewed as a genera...

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Bibliographic Details
Main Authors: Cavalcante, C.C., Cavalcanti, F.R.P., Mota, J.C.M., Romano, J.M.T.
Format: Conference Proceeding
Language:English
Subjects:
Blind source separation
Decorrelation
Directive antennas
Linear antenna arrays
MIMO
Multiaccess communication
Phased arrays
Power system modeling
Receiving antennas
Source separation
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Summary:An adaptive multiuser constrained version of a fitting probability density function (PDF) algorithm (FPA) for source separation is proposed. The novel algorithm is derived from the multiuser kurtosis (MUK) procedure proposed in the literature. In fact, the proposed approach may be viewed as a generalization of the MUK one. The resulting algorithm is evaluated through computational simulations in the context of a space division multiple access (SDMA) system. The obtained results show that a better performance is attained with respect to the unconstrained version.
DOI:10.1109/SPAWC.2003.1319001