Title :
Bi-Iterative Algorithm for Extracting Independent Components From Array Signals
Author :
Feng, Da-Zheng ; Zhang, Hua ; Zheng, Wei Xing
Author_Institution :
Nat. Lab. of Radar Signal Process., Xidian Univ., Xi´´an, China
Abstract :
It is well known that the complex-valued nonunitary joint diagonalization (NUJD) problem in blind source separation (BSS) can be linked to the trilinear models. In this paper, by exploring the special structure of the NUJD problem in BSS, we introduce a novel symmetric tri-quadratic cost function and then derive a simultaneous bi-iterative algorithm (s-BIA) for solving the NUJD problem. Finally, three experiments are conducted in order to show the comparatively good performance of the proposed BSS algorithm.
Keywords :
array signal processing; blind source separation; feature extraction; iterative methods; array signals; blind source separation; complex-valued nonunitary joint diagonalization problem; independent component extraction; simultaneous biiterative algorithm; symmetric triquadratic cost function; trilinear models; Algorithm design and analysis; Arrays; Cost function; Covariance matrix; Joints; Signal processing algorithms; Source separation; Bi-iterative algorithm (BIA); JADE; blind source separation (BSS); eigenmatrices; nonunitary joint diagonalization (NUJD); tri-quadratic cost function;
Journal_Title :
Signal Processing, IEEE Transactions on
Conference_Location :
5/2/2011 12:00:00 AM
DOI :
10.1109/TSP.2011.2150217
