Adaptive beamforming algorithms with robustness against jammer motion

Author

Gershman, Alex B. ; Nickel, Ulrich ; Böhme, Johann F.

Author_Institution

Signal Theory Group, Ruhr-Univ., Bochum, Germany

Volume

45

Issue

7

fYear

1997

fDate

7/1/1997 12:00:00 AM

Firstpage

1878

Lastpage

1885

Abstract

The performance of adaptive array algorithms is known to degrade in rapidly moving jammer environments. This degradation occurs due to the jammer motion that may bring the jammers out of the sharp notches of the adapted pattern. We develop the robust modifications of the sample matrix inversion (SMI) algorithm, loaded SMI (LSMI) algorithm, and eigenvector projection (EP) algorithm by means of artificial broadening of the null width in the jammer directions. For this purpose, data-dependent sidelobe derivative constraints that do not require any a priori information about the jammer directions are used

Keywords

array signal processing; direction-of-arrival estimation; eigenvalues and eigenfunctions; jamming; matrix inversion; signal sampling; adapted pattern; adaptive array algorithms performance; adaptive beamforming algorithms; artificial broadening; data dependent sidelobe derivative constraints; eigenvector projection algorithm; jammer directions; jammer motion robustness; loaded SMI algorithm; null width; sample matrix inversion algorithm; Adaptive arrays; Antenna arrays; Array signal processing; Degradation; Directive antennas; Jamming; Nickel; Robustness; Sensor arrays; Signal processing algorithms;

fLanguage

English

Journal_Title

Signal Processing, IEEE Transactions on

Publisher

ieee

ISSN

1053-587X

Type

jour

DOI

10.1109/78.599965

Filename

599965