A fixed-lag particle filter for the joint detection/compensation of interference effects in GPS navigation

Authors:
Audrey Giremus;Jean-Yves Tourneret;Arnaud Doucet
Affiliations:
University of Bordeaux, IMS-LAPS-UMR, Talence, France;University of Toulouse, IRIT-ENSEEIHT-TéSA, France;Institute of Statistical Mathematics, Tokyo, Japan
Venue:
IEEE Transactions on Signal Processing
Year:
2010

Citing 9
Cited 0

Joint Segmentation of Multivariate Astronomical Time Series: Bayesian Sampling With a Hierarchical Model

IEEE Transactions on Signal Processing
Joint Bayesian model selection and estimation of noisy sinusoidsvia reversible jump MCMC

IEEE Transactions on Signal Processing
Bayesian curve fitting using MCMC with applications to signalsegmentation

IEEE Transactions on Signal Processing
Joint Segmentation of Piecewise Constant Autoregressive Processes by Using a Hierarchical Model and a Bayesian Sampling Approach

IEEE Transactions on Signal Processing
A Particle Filtering Approach for Joint Detection/Estimation of Multipath Effects on GPS Measurements

IEEE Transactions on Signal Processing
A new class of soft MIMO demodulation algorithms

IEEE Transactions on Signal Processing
A tutorial on particle filters for online nonlinear/non-GaussianBayesian tracking

IEEE Transactions on Signal Processing
Delayed-pilot sampling for mixture Kalman filter with applicationin fading channels

IEEE Transactions on Signal Processing
A Jump Markov Particle Filter for Localization of Moving Terminals in Multipath Indoor Scenarios

IEEE Transactions on Signal Processing - Part I

Quantified Score

Hi-index	35.68

Visualization

Abstract

Interference are among the most penalizing error sources in global positioning system (GPS) navigation. So far, many effort has been devoted to developing GPS receivers more robust to the radio-frequency environment. Contrary to previous approaches, this paper does not aim at improving the estimation of the GPS pseudoranges between the mobile and the GPS satellites in the presence of interference. As an alternative,we propose to model interference effects as variance jumps affecting the GPS measurements which can be directly detected and compensated at the level of the navigation algorithm. Since the joint detection/estimation of the interference errors and motion parameters is a highly non linear problem, a particle filtering technique is used. An original particle filter is developed to improve the detection performance while ensuring a good accuracy of the positioning solution.