Skip to Main content Skip to Navigation
Conference papers

On a SIRV-CFAR detector with radar experimentations in impulsive noise

Abstract : This paper deals with radar detection in impulsive noise. Its aim is twofold. Firstly, assuming a Spherically Invariant Random Vectors (SIRV) modelling for the noise, the corresponding unknown covariance matrix is estimated by a recently introduced algorithm [1, 2]. A statistical analysis (bias, consistency, asymptotic distribution) of this estimate will be summarized allowing us to give the GLRT properties: the SIRV-CFAR (Constant False Alarm Rate) property, i.e. texture-CFAR and Covariance Matrix-CFAR, and the relationship between the Probability of False Alarm (PFA) and the detection threshold. Secondly, one of the main contributions of this paper is to give some results obtained with real non-Gaussian data. These results demonstrate the interest of the proposed detection scheme, and show an excellent correspondence between experimental and theoretical false alarm rates.
Complete list of metadatas

Cited literature [14 references]  Display  Hide  Download

https://hal-centralesupelec.archives-ouvertes.fr/hal-02495014
Contributor : Frédéric Pascal <>
Submitted on : Saturday, February 29, 2020 - 7:13:53 PM
Last modification on : Wednesday, September 16, 2020 - 4:50:52 PM
Long-term archiving on: : Saturday, May 30, 2020 - 1:50:25 PM

File

pascal_eusipco_new.pdf
Files produced by the author(s)

Identifiers

  • HAL Id : hal-02495014, version 1

Citation

Frédéric Pascal, Jean-Philippe Ovarlez, Philippe Forster, Pascal Larzabal. On a SIRV-CFAR detector with radar experimentations in impulsive noise. 14th European Signal Processing Conference (EUSIPCO 2006), Sep 2006, Florence, Italy. ⟨hal-02495014⟩

Share

Metrics

Record views

61

Files downloads

27