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• W2807984695 abstract "Riemannian distance based matrix constant false alarm rate (CFAR) detector under small number of pulses provides a novel mechanism for detecting radar targets against the background of sea clutter. However, the computational com­plexity of this detector is heavy. In this paper, using the maximum eigenvalue, we propose two blind algorithms for rank one signal. The proposed methods achieve high detection rates with low computational complexity in which the maximum eigenvalue is employed as the test statistic to modify the Riemannian method. Furthermore, the CFAR property is derived by the group invariant theory. The computational complexity is also analyzed and simulation results verify the effectiveness of the proposed detection methods." @default.
• W2807984695 created "2018-06-21" @default.
• W2807984695 creator A5011648033 @default.
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• W2807984695 date "2018-04-01" @default.
• W2807984695 modified "2023-09-27" @default.
• W2807984695 title "A modified matrix CFAR detector based on maximum eigenvalue for target detection in the sea clutter" @default.
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• W2807984695 doi "https://doi.org/10.1109/radar.2018.8378679" @default.
• W2807984695 hasPublicationYear "2018" @default.
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