STAP fondé sur une modélisation autorégressive (AR) des interférences : estimation des paramètres AR par filtrage de Kalman

Abstract : In the STAP domain, modeling the interferences as an autoregressive (AR) process with the detector called Parametric Adaptive Matched Filter (PAMF), provides an estimation of the clutter-rejection filter with few training data. The main difficulty of this approach is the estimation of the AR matrices by using the training data. Thus, we propose an on-line estimation based on the Kalman filter and its variants. A comparative study is carried out and illustrates the relevance of such approaches with data provided by the DGA.
Complete list of metadatas

https://hal.archives-ouvertes.fr/hal-00667287
Contributor : Eric Grivel <>
Submitted on : Tuesday, February 7, 2012 - 1:02:54 PM
Last modification on : Thursday, January 11, 2018 - 6:21:08 AM

Identifiers

  • HAL Id : hal-00667287, version 1

Citation

Julien Julien Petitjean, Eric Grivel. STAP fondé sur une modélisation autorégressive (AR) des interférences : estimation des paramètres AR par filtrage de Kalman. Traitement du Signal, Lavoisier, 2011, http://documents.irevues.inist.fr/handle/2042/31. ⟨hal-00667287⟩

Share

Metrics

Record views

153