Skip to Main content Skip to Navigation
Conference papers

Bayesian Optimum Radar Detector Performances Against Ground Clutter Data

Abstract : In this paper detection performances of the Bayesian Optimum Radar Detector (BORD) against non-Gaussian ground clutter data are showed in the case of an unknown complex amplitude target. Recalling first how BORD was derived from the non-Gaussian SIRP model (Spherically Invariant Random Process) clutter we derive theoretical performances of the asymptotical expression of BORD which is CFAR with respect to the texture PDF of the SIRV. Then we compare BORD performances obtained in non-Gaussian ground clutter data with those of well-known optimum radar detectors such as Optimum K-Detector (OKD) and Optimum Gaussian Detector (OGD).
Complete list of metadatas

Cited literature [12 references]  Display  Hide  Download

https://hal-centralesupelec.archives-ouvertes.fr/hal-02495010
Contributor : Frédéric Pascal <>
Submitted on : Saturday, February 29, 2020 - 6:59:12 PM
Last modification on : Friday, June 26, 2020 - 2:34:02 PM
Long-term archiving on: : Saturday, May 30, 2020 - 1:34:26 PM

File

Radar2004-2.pdf
Files produced by the author(s)

Identifiers

  • HAL Id : hal-02495010, version 1

Collections

Citation

Jean-Philippe Ovarlez, Emmanuelle Jay, Frédéric Pascal. Bayesian Optimum Radar Detector Performances Against Ground Clutter Data. Proc. of the IEEE-RADAR-04,, Oct 2004, Toulouse, France. ⟨hal-02495010⟩

Share

Metrics

Record views

50

Files downloads

14