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Proceedings of 1994 28th Asilomar Conference on Signals, Systems and Computers (1994)
Pacific Grove, CA, USA
Oct. 31, 1994 to Nov. 2, 1994
ISSN: 1058-6393
ISBN: 0-8186-6405-3
pp: 671-676
A.G. Jaffer , Hughes Aircraft Co., Fullerton, CA, USA
A major problem in airborne radar or moving platform active sonar systems is the detection of low-Doppler target returns embedded in spatially distributed and Doppler-spread clutter returns received in a radar antenna or sonar array. This paper presents two novel partially adaptive space-time processing techniques for improving low-Doppler target detection which are based on employing an adaptive preprocessing structure composed of transversal FIR filters in each subarray of a partitioned planar array. Both methods use substantially reduced adaptive degrees of freedom compared to the "optimal", fully adaptive space-time processing method with attendant significant computation advantages and improved performance in a nonstationary environment. Computer simulation results are presented that demonstrate the improved performance of the proposed techniques over conventional beamforming and filtering methods.<>
airborne radar, sonar arrays, adaptive signal detection, Doppler radar, radar clutter, clutter, FIR filters, adaptive antenna arrays, radar theory, adaptive filters

A. Jaffer, "Constrained partially adaptive space-time processing for clutter suppression," Proceedings of 1994 28th Asilomar Conference on Signals, Systems and Computers(ACSSC), Pacific Grove, CA, USA, 1995, pp. 671-676.
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