DocumentCode :
2220541
Title :
A robust estimator for polynomial phase signals in non Gaussian noise using parallel unscented Kalman filters
Author :
Djeddi, Mounir ; Benidir, Messaoud
Author_Institution :
Lab. des Signaux et Syst. (L2S), Supelec, Gif-sur-Yvette, France
fYear :
2006
fDate :
4-8 Sept. 2006
Firstpage :
1
Lastpage :
5
Abstract :
In this paper, we address the problem of the estimation of polynomial phase signals (PPS) in “∈-contaminated” impulsive noise using Kalman filtering technique. We consider an original estimation method based on the exact non linear state space representation of the signal by using the unscented Kalman filter (UKF) instead of the classical approach which consists in the linearization of the system of equations and then applying the extended kalman filter (EKF). The observation noise´s probability density function is assumed to be a sum of two-component Gaussians weighted by the probability of appearance of the impulsive and gaussian noises in the observations. We propose to use two unscented Kalman filters operating in parallel (PUKF) as an alternative to the classical methods which generally handle the impulsive noise by using either clipping or freezing procedures. Simulation results show that the PUKF is less sensitive to impulsive noise and gives better estimation of signal parameters compared to the recently proposed algorithms.
Keywords :
Kalman filters; estimation theory; impulse noise; nonlinear filters; probability; PPS estimation; PUKF; extended kalman filter; impulsive noise; noise probability density function; nonGaussian noise; nonlinear state space representation; parallel unscented Kalman filters; polynomial phase signals; polynomial phase signals estimation; robust estimator; signal parameters; Abstracts; Filtering algorithms; Kalman filters;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing Conference, 2006 14th European
Conference_Location :
Florence
ISSN :
2219-5491
Type :
conf
Filename :
7071424
Link To Document :
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