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This paper describes an association algorithm for tracks generated by non-homogeneous airborne sensors. The performance of this algorithm in terms of the probability of correct and false association is analytically evaluated. To achieve this result the Cramer-Rao lower bound of the estimator of the tracks is computed. A numerical example with two targets flying along two parallel trajectories is presented...
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