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Weak target detection by multiscale space-time adaptive processing

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3 Author(s)
Olcer, I. ; Ulusal Elektron. ve Kriptoloji Aras. Enst., TUBITAK, Kocaeli, Turkey ; Anarim, E. ; Morgul, A.

STAP is a recent popular research field in which a multichannel and multipulse radar system is utilized to enhance the performance of radar detection under severe clutter and jammer conditions. Real-time STAP requires an intelligent lower dimensional processor realizable from a computational point of view. Several "reduced-dimension (or partially adaptive) STAP" techniques have been introduced to represent the noise sub-space and reduce the dimension of the weight vector. Beside these approaches, we introduce a new technique which is based on modeling the radar clutter as a multiscale stochastic process. Our approach is shown to be capable of outperforming the popular partially adaptive STAP algorithms although the computational complexity is significantly reduced.

Published in:

Signal Processing and Communications Applications Conference, 2004. Proceedings of the IEEE 12th

Date of Conference:

28-30 April 2004