Knowledge based adaptive processing for ground moving target indication

Authors:
Raviraj Adve;Todd Hale;Michael Wicks
Affiliations:
Department of Electrical and Computer Engineering, University of Toronto, 10 King's College Road, Toronto, ON M5S 3G4, Canada;Air Force Institute of Technology, 2950 P Street, Wright-Patterson AFB, OH 45324, USA;Air Force Research Laboratory, Sensors Directorate, 26 Electronics Parkway, Rome, NY 13403, USA
Venue:
Digital Signal Processing
Year:
2007

Citing 1
Cited 1

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Performance improvement for monostatic clutter mitigation using space-time-range three-dimensional adaptive processing

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Abstract

This paper presents a preliminary knowledge based approach to space-time adaptive processing (STAP) for ground moving target indication from an airborne platform. The KB-processor accounts for practical aspects of adaptive processing, including detection and processing of non-homogeneous data, appropriate selection of training data, and accounting for array effects such as mutual coupling and channel mismatch. In combining these hitherto separate STAP issues into a unified approach, this paper furthers the move of STAP from theory to practice. The KB-approach is tested using measured data from the multi-channel airborne radar measurements (MCARM) program.