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Static data association with a terrain-based prior density

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3 Author(s)
A. L. Barker ; Dept. of Comput. Sci., Virginia Univ., Charlottesville, VA, USA ; D. E. Brown ; W. N. Martin

We consider the problem of estimating the states of a static set of targets, given a collection of densities, each representing the state of a single target. We assume there is no a priori knowledge of which of the given densities represent common targets, but that a prior density for the target locations is available. For a two-dimensional (2-D) location estimation problem, we construct a prior density model based on known features of the terrain. We then give a simple Gaussian association-estimation algorithm using the prior density and present some simulation results. We briefly discuss extensions to nonstatic models

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IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews)  (Volume:28 ,  Issue: 1 )