Research on Track Correlation Algorithm Based on Auction Algorithm Improved by Linear Gate
The problem of multi-source sensor track correlation in distributed detection systems is usually solved in such a way that the commonly used process of constructing a correlation cost matrix based on distance statistics and auction algorithm will occur when facing a scenario where the number of targets in the detection area is large and the target tracks are densely distributed.The problem of decreased correlation accuracy and long correlation time are thus quite common.An improved auction algorithm based on linear wave gate is proposed to improve the correlation per-formance of existing correlation algorithms in the above scenarios.Considering that the measurement deviation of the sensor has a greater impact on the track data of targets far away from the sensor than targets close to the sensor,a linear wave gate related to distance is designed to filter the target tracks that may be associated.Simulation data results show that the proposed linear wave gate can improve the correlation accuracy and reduce the correlation time of the tradition-al auction algorithm under large batches of targets,proving the effectiveness of the linear wave gate and having import-ant significance for actual multi-source sensor track correlation problems.
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维普
