Title :
A robust adaptive filtering algorithm with variable step size
Author :
Hua, Ye ; Bo-Xiu, Wu
Author_Institution :
Dept. of Radio Eng., South-East Univ., Nanjing, China
Abstract :
The authors present a variable-step adaptive filtering algorithm (VS-NLMS) that is robust in the presence of interference. An estimated cross-correlation coefficient between the input reference signal and the error signal is used as the variable step size. Compared with the conventional fixed-step adaptive filtering algorithm (NLMS), the VS-NLMS algorithm can achieve much lower misadjustment noise in the steady state with the same convergence speed and tracking ability. The advantageous properties of the VS-NLMS algorithm are confirmed by computer simulation
Keywords :
adaptive filters; correlation methods; interference suppression; computer simulation; conventional fixed-step adaptive filtering algorithm; convergence speed; cross-correlation coefficient; error signal; input reference signal; interference suppression; lower misadjustment noise; tracking ability; variable-step adaptive filtering algorithm; Adaptive filters; Computer simulation; Convergence; Filtering algorithms; Interference; Noise cancellation; Noise robustness; Signal processing algorithms; Steady-state; System identification;
Conference_Titel :
Military Communications Conference, 1989. MILCOM '89. Conference Record. Bridging the Gap. Interoperability, Survivability, Security., 1989 IEEE
Conference_Location :
Boston, MA
DOI :
10.1109/MILCOM.1989.103982
