Radar adaptive beamforming algorithms and architectures

Author

Finn, A.M. ; Griffin, M.F.

Author_Institution

United Technol. Res. Center, East Hartford, CT, USA

fYear

1990

fDate

15-18 Oct 1990

Firstpage

194

Lastpage

199

Abstract

Adaptive beamforming algorithms and architectures for phased array radars are reviewed. In particular, the linearly constrained minimum variance (LCMV) beamformer with a normalized least mean square (LMS) weight update algorithm is examined for airborne surveillance applications. LCMV simulation results for realistic clutter, noise, and array miscalibration models are presented. The LCMV beamformer with a normalized LMS weight update algorithm is shown to offer good, performance with minimum computational complexity

Keywords

antenna phased arrays; computerised signal processing; least squares approximations; radar antennas; radar clutter; adaptive beamforming algorithms; airborne surveillance; array miscalibration models; calibration; clutter; computational complexity; direct matrix inversion; error analysis; finite band errors; gradient descent algorithms; linearly constrained minimum variance; noise; normalized least mean square; phased array radars; recursive least squares; simulation; Adaptive arrays; Airborne radar; Array signal processing; Clutter; Doppler radar; Jamming; Least squares approximation; Phased arrays; Radar cross section; Surveillance;

fLanguage

English

Publisher

ieee

Conference_Titel

Digital Avionics Systems Conference, 1990. Proceedings., IEEE/AIAA/NASA 9th

Conference_Location

Virginia Beach, VA

Type

conf

DOI

10.1109/DASC.1990.111285

Filename

111285