Abstract:

In order to solve the problem that the spatial-temporal similarity of asynchronous multi-source multi-track cannot be measured effectively, a new trajectory similarity model for asynchronous multi-source multi-track is proposed. Based on the idea of searching the potential data points under the spatial and temporal constraints, the optimal matched point is determined from the sets of nearly matched points by setting spatial and temporal thresholds, and the similarity measure between multi-source trajectories is obtained. The experiment result conducted on a real data set shows that the model can evaluate the similarity of multi-source trajectory effectively, with lowers the time cost. When applied to a simulated complex multi-target scenario, the performance of the correlation algorithm based on this model is better than existing methods, and the algorithm has been applied to estimating bias of maritime radar.