Spaced-based radar space-time adaptive processing (STAP) in a heterogeneous clutter environment is addressed. An efficient Kalman Filter implementation of the normalized form of the parametric adaptive matched filter (NPAMF) is introduced and shown to perform well against a detailed, ground moving target indication (GMTI) simulation. The number of secondary data range cells required by NPAMF is much smaller than the product of spatial channels and pulses and, thus, NPAMF is attractive for low sample support applications. Results indicate that the same minimum detectable velocity can be realized with about half the SBR aperture if conventional Doppler processing is replaced with STAP, in particular, NPAMF.
Space-time adaptive processing for space based radar
2004 IEEE Aerospace Conference Proceedings (IEEE Cat. No.04TH8720) ; 3 ; 1904-1910 Vol.3
2004-01-01
520390 byte
Conference paper
Electronic Resource
English
6.0402 Space-Time Adaptive Processing for Space Based Radar
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