Title :
Skywave radar spatial adaptive processing with quiescent pattern control
Author :
Turley, Mike D E
Author_Institution :
Surveillance Res. Lab., Defence Sci. & Technol. Organ., Salisbury, SA, Australia
Abstract :
A problem in radar processing is that of providing operators with interpretable spatial spectra. These spectra are most tractable to the operator when the noise field is near-isotropic, and a low sidelobe response array pattern has been applied. This paper considers the method of soft response constraints for controlling the array pattern between the extremes of conventional beamforming and minimum variance distortionless response beamforming. A factor to control the response is developed, based on eigen-analysis of the spatial noise covariance matrix. An example of usage on skywave radar data with simulated interference and target signals is given
Keywords :
adaptive antenna arrays; adaptive signal processing; antenna radiation patterns; array signal processing; covariance matrices; eigenvalues and eigenfunctions; noise; radar antennas; radar applications; radar interference; radar signal processing; spectral analysis; array pattern control; conventional beamforming; eigen-analysis; low sidelobe response array pattern; minimum variance distortionless response beamforming; near-isotropic noise field; quiescent pattern control; radar processing; simulated interference signals; simulated target signals; skywave radar data; soft response constraints; spatial adaptive processing algorithm; spatial noise covariance matrix; spatial spectra; Adaptive control; Array signal processing; Australia; Covariance matrix; Interference; Programmable control; Radar; Signal to noise ratio; Vectors; Working environment noise;
Conference_Titel :
Signal Processing and Its Applications, 1999. ISSPA '99. Proceedings of the Fifth International Symposium on
Conference_Location :
Brisbane, Qld.
Print_ISBN :
1-86435-451-8
DOI :
10.1109/ISSPA.1999.818181