Title :
A constrained version of fitting PDF algorithm for blind source separation
Author :
Cavalcante, C.C. ; Cavalcanti, F. Rodrigo P. ; Mota, Joao C. M. ; Romano, J. M Z
Author_Institution :
DSPCom/DECOM/FEEC/UNICAMP, Campinas, Brazil
Abstract :
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.
Keywords :
blind source separation; multiuser detection; parameter estimation; space division multiple access; statistical analysis; SDMA; adaptive multiuser constrained algorithm; blind source separation; fitting PDF algorithm; multiuser detection; multiuser kurtosis; probability density function estimation; space division multiple access; Blind source separation; Decorrelation; Directive antennas; Linear antenna arrays; MIMO; Multiaccess communication; Phased arrays; Power system modeling; Receiving antennas; Source separation;
Conference_Titel :
Signal Processing Advances in Wireless Communications, 2003. SPAWC 2003. 4th IEEE Workshop on
Print_ISBN :
0-7803-7858-X
DOI :
10.1109/SPAWC.2003.1319001