Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
1713065 | Journal of Systems Engineering and Electronics | 2007 | 6 Pages |
Abstract
Under the scenario of dense targets in clutter, a multi-layer optimal data correlation algorithm is proposed. This algorithm eliminates a large number of false location points from the assignment process by rough correlations before we calculate the correlation cost, so it avoids the operations for the target state estimate and the calculation of the correlation cost for the false correlation sets. In the meantime, with the elimination of these points in the rough correlation, the disturbance from the false correlations in the assignment process is decreased, so the data correlation accuracy is improved correspondingly. Complexity analyses of the new multi-layer optimal algorithm and the traditional optimal assignment algorithm are given. Simulation results show that the new algorithm is feasible and effective.
Keywords
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Physical Sciences and Engineering
Engineering
Control and Systems Engineering
Authors
Zhou Li, Li Lingyun, He You,