Space-time adaptive processing in the presence of non-gaussian sea clutter

Tomasz Gorski (1) , Jean-Marc Le Caillec (1) , Adam Kawalec (2) , Witold Czarnecki (2)

1 ITI - Département Image et Traitement Information
2 WATT - Military university of technology

Space-Time Adaptive Processing (STAP) is an optimum technique for target detection in the presence of Gaussian clutter [Klemm, 2002 and Melvin, 2004]. However, for high resolution sea surveillance radar, clutter statistical properties are different [Stehwien, 1994]. Therefore classical STAP must be redefined. It can be done in the framework of the theory of Spherically Invariant Random Process (SIRP). In this paper a simple method of improving STAP performance in the presence of non-Gaussian clutter is proposed. Results are validated using simulated data.

Domaines: Traitement du signal et de l'image [eess.SP]

Tomasz Gorski, Jean-Marc Le Caillec, Adam Kawalec, Witold Czarnecki. Space-time adaptive processing in the presence of non-gaussian sea clutter. IET 2007 : International Conference on Radar Systems, Oct 2007, Edimbourg, United Kingdom. ⟨10.1049/cp:20070669⟩. ⟨hal-02912505⟩