A Fast Convergence Adaptive Approach In Sidelobe Cancellation System

Author

Zhao Jim ; ZhaoDa, Zhu

Author_Institution

Aeronaut. Inst. of Air Force, Xinyang

fYear

2006

fDate

16-19 Oct. 2006

Firstpage

1

Lastpage

4

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Radar, 2006. CIE '06. International Conference on

Conference_Location

Shanghai

Print_ISBN

0-7803-9582-4

Electronic_ISBN

0-7803-9583-2

Type

conf

DOI

10.1109/ICR.2006.343119

Filename

4148244