We address adaptive radar detection of targets embedded in clutter characterized by a symmetrically structublack power spectral density (PSD) and persymmetric covariance matrix. At the design stage, such properties are jointly exploited to come up with decision schemes capable of guaranteeing superior detection performances with respect to architectures which incorporate either persymmetry or clutter PSD symmetry. The performance analysis, both on simulated and on real radar data, confirms the superiority of the newly proposed architectures over their natural counterparts which do not take advantage of both the sources of a priori information.

Hao, C., Orlando, D., Foglia, G., Giunta, G. (2016). Knowledge-based adaptive detection: Joint exploitation of clutter and system symmetry properties. IEEE SIGNAL PROCESSING LETTERS, 23(10), 1489-1493 [10.1109/LSP.2016.2601931].

Knowledge-based adaptive detection: Joint exploitation of clutter and system symmetry properties

GIUNTA, GAETANO
2016-01-01

Abstract

We address adaptive radar detection of targets embedded in clutter characterized by a symmetrically structublack power spectral density (PSD) and persymmetric covariance matrix. At the design stage, such properties are jointly exploited to come up with decision schemes capable of guaranteeing superior detection performances with respect to architectures which incorporate either persymmetry or clutter PSD symmetry. The performance analysis, both on simulated and on real radar data, confirms the superiority of the newly proposed architectures over their natural counterparts which do not take advantage of both the sources of a priori information.
Hao, C., Orlando, D., Foglia, G., Giunta, G. (2016). Knowledge-based adaptive detection: Joint exploitation of clutter and system symmetry properties. IEEE SIGNAL PROCESSING LETTERS, 23(10), 1489-1493 [10.1109/LSP.2016.2601931].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11590/312634
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