SSP'05 -- Proceedings

	IEEE/SP 13th workshop on Statistical Signal Processing July, 17-20, 2005 - Bordeaux - France

Information regarding the paper

Title

Quasi-Parabolic Ionosphere Modeling to Track with Over-The-Horizon Radar

Author(s)

David Bourgeois	ETIS - ENSEA/UCP
Christèle Morisseau	ONERA
Marc Flécheux	ONERA

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Abstract

Over-The-Horizon Radars use ionosphere reflection to detect and track targets, they are thus faced with a possible appearance of multipaths and difficulties to estimate the target ground location. To solve these problems we propose to use a ionosphere model called Multi-Quasi-Parabolic (MQP) model. Introducing the coefficients of the MQP model into a target tracking algorithm leads to nonlinear evolution and measurement equations. Furthermore we only have estimation, through ionosphere measurements, of these parameters values. To take into account MQP parameters in a target tracking algorithm, we propose two different approaches built on the same algorithm: the Unscented Kalman Filter. In the first approach, we use a Joint Unscented Kalman Filter and in the second one we use an Unscented Particle Filter applied on both target state space and MQP parameters space. We compare these two approaches and present our conclusions illustrating them by numerical simulations on the French Over-The-Horizon Radar Nostradamus.