Title :
A Fast Convergence Adaptive Approach In Sidelobe Cancellation System
Author :
Zhao Jim ; ZhaoDa, Zhu
Author_Institution :
Aeronaut. Inst. of Air Force, Xinyang
Abstract :
It is an necessity for radar system to restrain jammers efficiently especially correlated jammers. This paper does research on the application of FML (fast maximum likelihood, FML) in sidelobe cancellation system for coherent jammers. A new approach, which combines forward/backward averaging scheme and FML, is used to cancel correlated jammers. Comparison with traditional SMI (sample matrix inversion, SMI) this method has advantages of fast convergence and low computation. Theoretical analysis and simulation results are presented to demonstrate its effectiveness
Keywords :
jamming; maximum likelihood estimation; radar; FML; coherent jammer; convergence adaptive approach; fast maximum likelihood; forward-backward averaging scheme; radar system; sidelobe cancellation system; Adaptive systems; Analytical models; Computational modeling; Convergence; Covariance matrix; Eigenvalues and eigenfunctions; Interference; Jamming; Maximum likelihood estimation; Signal to noise ratio; Adaptive sidelobe cancellation; Coherent jammers; Fast maximum likelihood method; Forward/Backward averaging;
Conference_Titel :
Radar, 2006. CIE '06. International Conference on
Conference_Location :
Shanghai
Print_ISBN :
0-7803-9582-4
Electronic_ISBN :
0-7803-9583-2
DOI :
10.1109/ICR.2006.343119
