Fast Estimation of False Alarm Probabilities of STAP Detectors - the AMF
AIR FORCE RESEARCH LAB HANSCOM AFB MA SENSORS DIRECTORATE
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This paper is an initial attempt to harness the power of adaptive importance sampling techniques for estimating false alarm probabilities of space-time adaptive radar detectors. Fast simulation using importance sampling has been notably successful in the study of conventional constant false alarm rate radar detectors, and in several other applications. The principal task here is to examine the viability of using importance sampling methods for STAP detection. Though a modest beginning, the adaptive matched filter detection algorithm is analyzed successfully using fast simulation. Two biasing methods are proposed in this paper. One of them known as the g-method is shown to yield excellent results. The important problem of detector threshold determination is also addressed, with matching outcome. The work reported here serves to pave the way to development of more advanced estimation techniques that can facilitate design of powerful and robust detection algorithms designed to counter hostile and heterogenous clutter environments.
- Statistics and Probability
- Active and Passive Radar Detection and Equipment
- Defense Systems