A Passive Multisensor Multitarget Track Association Algorithm Based on Global Optimization

Sheng Wei-dong; Lin Liang-kui; An Wei; Zhou Yi-yu

doi:10.3724/SP.J.1146.2009.01091

Volume 32 Issue 7

Aug. 2010

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Sheng Wei-dong, Lin Liang-kui, An Wei, Zhou Yi-yu. A Passive Multisensor Multitarget Track Association Algorithm Based on Global Optimization[J]. Journal of Electronics & Information Technology, 2010, 32(7): 1621-1625. doi: 10.3724/SP.J.1146.2009.01091

Citation:

Sheng Wei-dong, Lin Liang-kui, An Wei, Zhou Yi-yu. A Passive Multisensor Multitarget Track Association Algorithm Based on Global Optimization[J]. Journal of Electronics & Information Technology, 2010, 32(7): 1621-1625. doi: 10.3724/SP.J.1146.2009.01091

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A Passive Multisensor Multitarget Track Association Algorithm Based on Global Optimization

doi: 10.3724/SP.J.1146.2009.01091

Received Date: 2009-08-17
Rev Recd Date: 2010-03-09
Publish Date: 2010-07-19

Abstract

Abstract

Track association of multitarget is one of the key and difficult issue in the space-based optical tracking system. Traditional distributed track association methods rely on three dimension information of the tracks, are no longer applicable to the two dimensional track association issue. Therefore, the hinge angle difference is treated as statistic, a track statistical testing model is constructed, and a global optimization track association algorithm is proposed. Finally, a Monte Carlo simulation of dense targets is done, results show that the proposed algorithm has favorable performance, and can accomplish the passive multisensor multitarget track association task efficiently in dense targets scenario.

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References(1)

References

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