A new method of partially adaptive constant false-alarm rate (CFAR) detection is introduced. The processor implements a novel sequence of orthogonal subspace projections to decompose the Wiener solution in terms of the cross-correlation observed at each stage. The performance is evaluated using the general framework of space-time adaptive processing (STAP) for the cases of both known and unknown covariance. It is demonstrated that this new approach to partially adaptive STAP outperforms the more complex eigen-analysis approaches using both simulated DARPA Mountain Top data and true pulse-Doppler radar data collected by the MCARM radar.
Multistage partially adaptive STAP CFAR detection algorithm
IEEE Transactions on Aerospace and Electronic Systems ; 35 , 2 ; 645-661
1999-04-01
2447360 byte
Article (Journal)
Electronic Resource
English
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