DocumentCode :
2790865
Title :
New versions of MCDA/ICMDA algorithms applied in a nonlinear context
Author :
Bourgeois, David ; Morisseau, Christele ; Flecheux, Marc
Author_Institution :
ENSEA/UCP-ETIS, Cergy Pontoise
fYear :
2005
fDate :
5-12 March 2005
Firstpage :
2148
Lastpage :
2153
Abstract :
Over-the-horizon (OTH) radars provide a survey of wide areas, using ionospheric reflections of the electromagnetic waves. Most of the time they have to face multipath problems: state estimation has to be done with measurements involving different observation models. To tackle this measurement-to-observation-model association problem, the Monte Carlo data association (MCDA) algorithm, and a derivative one, the iterated conditional mode data association (ICMDA) have been developed. They only apply in a linear context. We propose new versions of these algorithms, well adapted to nonlinear problems. Our two algorithms are applied, through numerical simulations, to a concrete case: target tracking with the French OTH radar Nostradamus, in clutter environment
Keywords :
Monte Carlo methods; nonlinear estimation; radar clutter; radar tracking; state estimation; target tracking; ICMDA algorithm; MCDA algorithm; Monte Carlo data association; iterated conditional mode data association; mcasurement-to-observation-model association problem; multipath problems; nonlinear problems; numerical simulations; over-the-horizon radars; state estimation; target tracking; Concrete; Electromagnetic measurements; Electromagnetic reflection; Electromagnetic scattering; Monte Carlo methods; Numerical simulation; Radar; State estimation; Target tracking; Time measurement; MCMC; Over-The-Horizon Radar; data association; tracking;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Aerospace Conference, 2005 IEEE
Conference_Location :
Big Sky, MT
Print_ISBN :
0-7803-8870-4
Type :
conf
DOI :
10.1109/AERO.2005.1559506
Filename :
1559506
Link To Document :
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