Title :
Stochastic constraints in nonstationary hot clutter cancellation
Author :
Anderson, Stuart J. ; Abramovich, Yuri I. ; Fabrizio, Giuseppe A.
Author_Institution :
Defence Sci. & Technol. Organ., Adelaide, SA, Australia
Abstract :
This paper considers the use of spatio-temporal adaptive processing (STAP) in OTHR and SAR applications to remove nonstationary multipath interference, known as “hot clutter”. Since the spatio-temporal properties of hot clutter cannot be assumed constant over the coherent processing interval, conventional adaptive routines fail to provide effective hot clutter mitigation without degrading sub-clutter visibility for backscattered radar signals. The approach presented incorporates multiple stochastic constraints, previously investigated for spatial-only adaptive processing, to achieve effective elimination of hot clutter with distortionless coherent processing for backscattered radar signals
Keywords :
adaptive signal processing; array signal processing; backscatter; direction-of-arrival estimation; interference suppression; multipath channels; radar applications; radar clutter; radar cross-sections; radar signal processing; stochastic processes; synthetic aperture radar; DOA; OTHR; SAR; STAP; backscattered radar signals; distortionless coherent processing; multiple stochastic constraints; nonstationary hot clutter cancellation; nonstationary multipath interference; radar applications; spatial-only adaptive processing; spatiotemporal adaptive processing; stochastic constraints; subclutter visibility; Australia; Covariance matrix; Distortion; Interference cancellation; Protection; Radar clutter; Radar signal processing; Signal processing; Stochastic processes; Vectors;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1997. ICASSP-97., 1997 IEEE International Conference on
Conference_Location :
Munich
Print_ISBN :
0-8186-7919-0
DOI :
10.1109/ICASSP.1997.604687