If estimation of multicomponent chirp signal in impulsive α-stable noise environment using parametric and non-parametric approaches

M. Sahmoudi, K. Abed-Meraim, B. Barkat

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In this paper we address the problem of instantaneous frequency (IF) estimation of multicomponent chirp signals in impulsive α-stable noise environment. Three new parametric techniques are introduced first based on robust versions of the MUSIC algorithm using truncated data (TRUNC-MUSIC), robust covariance estimate (ROCOV-MUSIC) and generalized covariation coefficients which are a fractional lower order statistics (FLOS-MUSIC), respectively. These methods are compared with a new proposed method based on 'robust' time-frequency signal analysis.

Original languageBritish English
Title of host publication2004 12th European Signal Processing Conference, EUSIPCO 2004
Pages1793-1796
Number of pages4
ISBN (Electronic)9783200001657
StatePublished - 3 Apr 2015
Event12th European Signal Processing Conference, EUSIPCO 2004 - Vienna, Austria
Duration: 6 Sep 200410 Sep 2004

Publication series

NameEuropean Signal Processing Conference
Volume06-10-September-2004
ISSN (Print)2219-5491

Conference

Conference12th European Signal Processing Conference, EUSIPCO 2004
Country/TerritoryAustria
CityVienna
Period6/09/0410/09/04

Fingerprint

Dive into the research topics of 'If estimation of multicomponent chirp signal in impulsive α-stable noise environment using parametric and non-parametric approaches'. Together they form a unique fingerprint.

Cite this