Title :
Novel efficient blind beamforming algorithm using cumulant optimization
Author :
Wu, Hsiao-Chun ; Xu, Dongxin
Author_Institution :
Dept. of Electr. & Comput. Eng., Louisiana State Univ., Baton Rouge, LA, USA
Abstract :
Blind beamformers have drawn a lot of attention from signal processing researchers in the past decade. These new beamforming techniques based on the signal statistics can remove the restriction on minimum-variance distortionless beamformers, such as the narrow bandwidth of source signals, the spectral distinction between the source signal and interference, etc. We propose a novel efficient blind beamforming algorithm based on the optimization of cumulants. Instead of the existing slow-converging steepest-descent-search algorithm, we derive a new iterative method to achieve the optimal solution. Empirically speaking, our new algorithm requires only a few iterations to reach a satisfactory result. Monte Carlo simulations also show that our iterative blind beamforming algorithm is robust over different signal-to-noise ratio conditions.
Keywords :
array signal processing; higher order statistics; iterative methods; optimisation; antenna array; blind beamforming algorithm; cumulant optimization; iterative method; minimum-variance distortionless beamformers; signal processing; signal statistics; signal-to-noise ratio; source signal bandwidth; spectral distinction; steepest-descent-search algorithm; Array signal processing; Bandwidth; Distortion; Interference; Iterative algorithms; Iterative methods; Robustness; Signal processing algorithms; Signal to noise ratio; Statistics;
Conference_Titel :
Antennas and Propagation Society International Symposium, 2005 IEEE
Print_ISBN :
0-7803-8883-6
DOI :
10.1109/APS.2005.1552746