Robust parametric detection in non homogeneous clutter

Author

Boukaba, Toufik ; Zoubir, Abdelhak M. ; Berkani, Daoud

Author_Institution

Lab. Signal et Commun., Ecole Nat. Polytech., El-harrach, Algeria

fYear

2014

fDate

22-25 June 2014

Firstpage

473

Lastpage

476

Abstract

In this paper we address the problem of robust adaptive parametric radar detection in non-homogeneous clutter. Interfering targets and clutter edges in secondary cells are regarded as outliers. Classical estimators of parametric models are not sufficiently robust in such situations. We consider stationary segments, where the clutter is modelled as an autoregressive process, we apply a robust filter and we estimate the autoregressive model to construct the parametric detector.

Keywords

adaptive radar; adaptive signal detection; autoregressive processes; filtering theory; radar clutter; radar detection; autoregressive model; autoregressive process; clutter edges; nonhomogeneous clutter; outliers; parametric detector; parametric model estimators; robust adaptive parametric radar detection; robust filter; robust parametric detection; secondary cells; stationary segments; target interference; Adaptation models; Batteries; Biological system modeling; Clutter; Radar detection; Robustness; Vectors; AR models; Clutter; outliers; robust filtering; robustness;

fLanguage

English

Publisher

ieee

Conference_Titel

Sensor Array and Multichannel Signal Processing Workshop (SAM), 2014 IEEE 8th

Conference_Location

A Coruna

Type

conf

DOI

10.1109/SAM.2014.6882445

Filename

6882445