Abstract

In order to improve the accuracy of data association of the Optimal Assignment (OA) algorithm based on dynamic information, an improved Point-Track Optimal Assignment (IPTOA) algorithm based on multi-source information is proposed. The improved algorithm gets valid 3-tuple of measurement set by solving 3-Dimensional (3-D) assignment problem which is based on dynamic information. Then fuses multi-source information by combination rule of D-S evidence theory and constructs the point-track correlation matrix between valid 3-tuple of measurement and target track. Compared with the optimal assignment algorithm based on dynamic information, the new algorithm effectively fuses multi-source information to correlate measurement data, which improves the performance of multi-target tracking in different degrees. Simulation results verify the feasibility and effectiveness of the new algorithm.

Keywords:

Combination rule of D-S evidence theory, data correlation, multi-source information, the optimal assignment algorithm,

References

Competing interests

The authors have no competing interests.

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Copyright

The authors have no competing interests.