Title :
Radar adaptive beamforming algorithms and architectures
Author :
Finn, A.M. ; Griffin, M.F.
Author_Institution :
United Technol. Res. Center, East Hartford, CT, USA
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;
Conference_Titel :
Digital Avionics Systems Conference, 1990. Proceedings., IEEE/AIAA/NASA 9th
Conference_Location :
Virginia Beach, VA
DOI :
10.1109/DASC.1990.111285
