This paper deals with the estimation of the clutter covariance matrix in airborne radar space-time adaptive processing (STAP). Based on the persymmetry property, a novel STAP method, referred to as persymmetric extended factored processing (Per-EFA), is derived, which can make a more intensive use of the secondary data and improve the STAP performance in training-limited scenarios. Simulation results demonstrate the effectiveness of this method.
Improving EFA-STAP performance using persymmetric covariance matrix estimation
IEEE Transactions on Aerospace and Electronic Systems ; 51 , 2 ; 924-936
2015-04-01
2434684 byte
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
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