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Proceedings Paper

Two Dirac-Deltas detector analysis for target detection in non-Gaussian sea clutter
Author(s): Tomasz Górski; Adam Kawalec; Witold Czarnecki; Jean-Marc Le Caillec; Laurent Lecornu
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Paper Abstract

Space-Time Adaptive Processing (STAP) is a well known technique used for dealing with clutter in order to detect moving targets. This technique was derived under assumption, that clutter has Gaussian characteristics. Unfortunately when dealing with sea clutter, Gaussian assumption is no longer valid [1]. This causes increased number of false alarms. In this paper we present improved detector to deal with non-Gaussian clutter. Detector was derived from Generalized Likelihood Ratio Test (GLRT), assuming Spherically Invariant Random Process (SIRP) as a model for the clutter. Resulting detector was named Two Dirac-Deltas (TDD) detector and it has additional parameter (Δ) in comparison to classical STAP. Based on simulations, it is shown that it is crucial to choose Δ parameter appropriately.

Paper Details

Date Published: 28 December 2007
PDF: 8 pages
Proc. SPIE 6937, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2007, 69373J (28 December 2007); doi: 10.1117/12.784842
Show Author Affiliations
Tomasz Górski, Military Univ. of Technology (Poland)
Ecole Nationale Supérieure des Télécommunications de Bretagne (France)
Adam Kawalec, Military Univ. of Technology (Poland)
Witold Czarnecki, Military Univ. of Technology (Poland)
Jean-Marc Le Caillec, Ecole Nationale Supérieure des Télécommunications de Bretagne (France)
Laurent Lecornu, Ecole Nationale Supérieure des Télécommunications de Bretagne (France)


Published in SPIE Proceedings Vol. 6937:
Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2007

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