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Paper data
Optimal filtering of LORAN-C signal via particle filtering - Simulation results

Monin Andre, LAAS/CNRS
Salut Gerard, LAAS/CNRS

Page numbers in the proceedings:
Volume I pp 356-359

Nonlinear Signal and Systems / Adaptive Methods

Paper abstract
The aim of this paper is to present the application of particle filtering to LORAN-C navigation. After consideration of preprocessing treatment, one derives a complete modeling of the global problem. The model of the received wave is particularly adapted to the particle context and allows to reduce the number of particles required. Simulation results are given.

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