A Track Correlation Algorithm Based on D-S Theory
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Abstract
Based on D-S theory,the paper gives a new distributed multi-sensor track correlation algorithm(EK-NN) with a new criterion of track correlation,which improves the classical nearest neighbor(NN) and K-nearest neighbor(K-NN) methods.It is then compared with the two classical methods through simulation.The results showed that the performance of the EK-NN algorithm is better than the NN and K-NN algorithms in dense target environments.
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