Title :
An efficient algorithm for blind separation of multiple independent sources
Author :
Feng, Da-Zheng ; Zheng, Wei Xing
Author_Institution :
National Lab. for Radar Signal Process., Xidian Univ., Xi´´an
Abstract :
In this paper an improved whitening scheme is first developed by estimating the signal subspace jointly from a set of diagonalization-structural matrices based on the proposed cyclic maximizer of an interesting cost function. Next, a biquadratic contrast function is proposed for extracting one single independent component from a slice matrix group of any order cumulant of the array signals in the presence of the spatially-temporally white noise. A fast fixed-point algorithm is constructed for searching a minimum point of the proposed contrast function. Then multiple independent components are obtained by using repeatedly the fixed point algorithm for extracting one single independent component, and the orthogonality among them is achieved by the well-known QR decomposition. The performance of the proposed algorithms is illustrated by simulation results and is compared with several representative blind source separation algorithms
Keywords :
array signal processing; blind source separation; function approximation; independent component analysis; matrix decomposition; white noise; QR decomposition; array signals; biquadratic contrast function; blind source separation; cyclic maximizer; diagonalization-structural matrices; fixed-point algorithm; improved whitening scheme; white noise; Blind source separation; Covariance matrix; Data mining; Independent component analysis; Iterative algorithms; Matrix decomposition; Sensor arrays; Sensor phenomena and characterization; Signal processing algorithms; Source separation;
Conference_Titel :
Circuits and Systems, 2006. ISCAS 2006. Proceedings. 2006 IEEE International Symposium on
Conference_Location :
Island of Kos
Print_ISBN :
0-7803-9389-9
DOI :
10.1109/ISCAS.2006.1693556