Multi-target tracking data association method and system

Abstract

The invention discloses a multi-target tracking data association method and system, and the method comprises the steps: enabling a known starting time period track of a target measurement point to serve as a reinforcement learning training process according to the multi-target tracking data association characteristics, generating random clutters around the known measurement point in one step, andenabling the clutter points and the known measurement point to serve as radar collection measurement points; screening out candidate measurement points from the measurement points according to a tracking door, performing data association on all the candidate measurement points according to the matching degree and the position distribution rule by utilizing motion matching and reinforcement learning according to the motion characteristics of the target, and training an experience matrix of a reinforcement learning data association model according to an association result checked by one-step known measurement points; and performing data association on the track points of the target entering the clutter area in combination with motion matching, and continuing to optimize the empirical matrixaccording to an association result until track association is completed. The problems of low correct association rate, high calculation complexity and the like are solved, the correct association rateis improved, and the calculation complexity is reduced.

Description

technical field [0001] The invention relates to the technical field of multi-target tracking, in particular to a multi-target tracking data association method and system. It is suitable for multi-target tracking data association in a multi-clutter environment. Background technique [0002] The basic concept of multi-target tracking was first proposed by Wax in 1955. In 1964, Sutler conducted in-depth research on the theory of multi-target tracking and data association, and made pioneering progress. However, it was not until the early 1970s that the theory of maneuvering target tracking really attracted people's attention. During this period, the multi-target tracking technology marked by the organic combination of data association technology and Kalman filtering technology pioneered by Bar-shalom and Singer has made a breakthrough. However, target tracking data association in a dense clutter environment has always been a difficult problem in the field of multi-target track...

AI Technical Summary

Problems solved by technology

[0004] The present invention provides a multi-target tracking data association method and system, which are used to overcome the defects in the prior art, such as low correct association rate, large calculation complexity, and combinatorial explosion in the calculation of association probability, so as to improve the correct association rate and achieve Reduce computational complexity

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