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• W2341019204 abstract "In this paper, we propose a novel adaptive detector for airborne radar space-time adaptive detection (STAD) in partially homogeneous environments. The novel detector combines the numerically 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 to its natural competitors, the novel detector has higher probability of detection (PD), especially when the number of the training data is low. Moreover, it is shown to be practical constant false alarm rate (CFAR)." @default.
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• W2341019204 date "2010-01-03" @default.
• W2341019204 modified "2023-09-26" @default.
• W2341019204 title "Adaptive coherence estimator based on the Krylov subspace technique for airborne radar" @default.
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• W2341019204 doi "https://doi.org/10.1109/jsee.2015.00078" @default.
• W2341019204 hasPublicationYear "2010" @default.
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