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Adaptive coherence estimator based on the Krylov subspace technique for airborne radar
Pages: 705-712
Year: Issue:  4
Journal: Journal of Systems Engineering and Electronics

Keyword:  airborne radarspace-time adaptive detection (STAD)constant false alarm rate (CFAR)adaptive coherence estimator (ACE)Krylov subspacenumerical stabilitypartial y homoge-neous environments;
Abstract: A novel adaptive detector for airborne radar space-time adaptive detection (STAD) in partial y homogeneous environments is proposed. The novel detector combines the numerical y stable Krylov subspace technique and diagonal loading technique, and it uses the framework of the adaptive coherence estimator (ACE). It can effectively detect a target with low sample support. Compared with its natural competitors, the novel detector has higher proba-bility of detection (PD), especial y when the number of the training data is low. Moreover, it is shown to be practical y constant false alarm rate (CFAR).
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