A Multi-Sensor Track Fusion Method for Track Management Using Target Visibility

Abstract

The invention discloses a multi-sensor track fusion method for realizing track management by utilizing target visibility. The existing multi-sensor track fusion method uploads all possible tracks to the fusion center, which requires a large amount of communication and complex calculations. The present invention is as follows: 1. Two track sets are selected as the main track set and the auxiliary track set respectively. 2. The fusion center performs track association fusion on each track in the main track set and each track in the auxiliary track set respectively, to obtain the final fused track set. 3. Divide the trajectories in the fusion trajectories into target trajectories, terminated trajectories, and unknown identity trajectories. The invention can reduce the number of tracks sent by the sensor to the fusion center, reduce the communication amount between the sensor and the fusion center, and reduce the calculation amount of the fusion center. The track management function of the present invention can further speed up the confirmation of the target track in the fusion center, suppress false tracks, reduce the interference of false tracks on track association and fusion, and perform better in complex environments.

Description

Technical field [0001] The present invention belongs to the multi-sensor track association and the field of fusion technology, and more particularly to multi-sensor track fusion methods that utilize target visibility to realize track management, to solve multi-sensor tracks in complex environments such as high clutter, high leaks. Fusion issues can effectively improve the multi-sensor target tracking problem in complex environments, the target track confirmation speed of the integration center, and reduce the number of false tracks. Background technique [0002] Multi-sensor target tracking in complex environments is technically complicated, and multi-sensor target tracking generally has two system structures, which are generally divided into centralized systems and distributed systems. Since centralized integration has defects such as high communication cost, large amount of calculation and unstable system, generally adopted distributed systems as multi-sensor target tracking so...

AI Technical Summary

Problems solved by technology

However, in this algorithm, the sensor uploads all possible tracks to the fusion center, which requires a large amount of communication and complex calculations

Moreover, the fusion center has no track management function, and the algorithm performs poorly in complex environments

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