Title :
Space-time adaptive processing for airborne radar
Author_Institution :
Lincoln Lab., MIT, Lexington, MA, USA
Abstract :
Advanced airborne radar systems are required to detect targets in the presence of both clutter and jamming. Ground clutter is extended in both angle and range, and is spread in Doppler frequency because of the platform motion. Space-time adaptive processing (STAP) refers to the simultaneous processing of the signals from an array antenna during a multiple pulse coherent waveform. STAP can provide improved detection of targets obscured by mainlobe clutter, sidelobe clutter, and jamming. This paper provides an overview of partially adaptive STAP approaches. Analysis of the clutter covariance matrix rank provides insight and conditions for preprocessor design. As the filters used for detection in a STAP radar depend on the background interference estimates, the approaches used for parameter estimation must be modified for a STAP radar. The effect of STAP on angle and Doppler accuracy is described, and an approach for joint angle and Doppler estimation in a STAP radar is described
Keywords :
airborne radar; Doppler accuracy; Doppler estimation; Doppler frequency spread; ML estimator; STAP; airborne radar systems; angle accuracy; angle estimation; array antenna; background interference estimates; clutter covariance matrix rank; filters; ground clutter; interference cancellation; jamming; mainlobe clutter; multiple pulse coherent waveform; parameter estimation; platform motion; preprocessor design; sidelobe clutter; space-time adaptive processing; target detection;
Conference_Titel :
Space-Time Adaptive Processing (Ref. No. 1998/241), IEE Colloquium on
Conference_Location :
London
DOI :
10.1049/ic:19980240
