Browse > Article
http://dx.doi.org/10.7776/ASK.2009.28.6.520

MAFF-RLS Broadband Microphone GSC for Non-Stationary Interference Cancellation  

Lee, Seok-Jin (서울대학교 전기컴퓨터공학부)
Lim, Jun-Seok (세종대학교 전자공학과)
Sung, Koeng-Mo (서울대학교 전기컴퓨터공학부)
Abstract
The conventional studies about an adaptive beamformer assumed that the interference signals are stationary, so they used time-average of signals or Least Mean Squares. However, these methods showed low performance of canceling the non-stationary interferences. In this paper, the MAFF-RLS algorithm is developed in order to cancel non-stationary interferences, and the GSC structure using this algorithm is proposed. Furthermore, the performance of the MAFF-RLS beamformer is verified by simulation using MATLAB. This simulation results show the performance of the proposed beamformer is better than that of the SMI and the conventional RLS beamformer.
Keywords
Non-stationary interference cancellation; Adaptive beamformer; Broadband GSC; variable forgetting factor RLS;
Citations & Related Records
연도 인용수 순위
  • Reference
1 송성욱, "Self-Tuning Adaptive Algorithm and Applications", 박사학위논문, 서울대학교, 2003
2 R. Schreiber, "Impementation of adaptive array aIgorithms", IEEE Trans. Acoustics, Speech, and Signal Processing, vol. 32, no. 5, pp. 1038-1045, 1986
3 O. L. Frost. Ill, "An algorithm for linearly constrained adaptive array processing", Proc. IEEE, vol. 60, no, 8. pp. 926-935, 1972   DOI   ScienceOn
4 D. G. Manolakis, V. K. Ingle, and S. M. Kogon, Statistical and Adaptive Signal Processing, International Editions, McGraw-Hill, NewYork, 2000