Title :
An effective variable step size CS-LMS algorithm for adaptive beamforming
Author :
Shao, Wei ; Yu, Yujiang ; Qian, Zuping
Author_Institution :
Dept. of Satellite Commun., PLA Univ. of Sci. & Technol., Nanjing, China
Abstract :
An effective VSSCS-LMS (variable step size constrained stability - least mean square) algorithm for adaptive beamforming is presented in this paper. Compared with CS-LMS algorithm, the proposed algorithm has a weight vector update equation with variable step size to balance the convergence rate and steady-state misadjustment effectively. Two adjustment factors in the formula of variable step size can be used to adjust the step size flexibly. Simulation results show that the proposed algorithm convergences faster than LMS algorithm and obtains higher flexibility than CS-LMS algorithm.
Keywords :
array signal processing; convergence; least mean squares methods; adaptive beamforming; convergence rate; variable step size constrained stability-least mean square algorithm; weight vector update equation; Array signal processing; Arrays; Convergence; Equations; Least squares approximation; Signal processing algorithms; Adaptive beamforming; Least mean square (LMS); Variable step size;
Conference_Titel :
Signal Processing Systems (ICSPS), 2010 2nd International Conference on
Conference_Location :
Dalian
Print_ISBN :
978-1-4244-6892-8
Electronic_ISBN :
978-1-4244-6893-5
DOI :
10.1109/ICSPS.2010.5555528
