Multi-target tracking data association method and system

A multi-target tracking and data association technology, applied in the field of multi-target tracking data association methods and systems, can solve problems such as low correct association rate and large computational complexity, achieve fast calculation speed, improve association accuracy, and avoid combination explosion effect of the problem

Active Publication Date: 2020-02-21
SUN YAT SEN UNIV
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Problems solved by technology

[0004] The present invention provides a method and system for multi-target tracking data association, which is used to overcome the defects of low correct associa

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  • Multi-target tracking data association method and system
  • Multi-target tracking data association method and system
  • Multi-target tracking data association method and system

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Embodiment 1

[0029] as attached Figure 1-7 As shown, the embodiment of the present invention provides a multi-target tracking data association method, which is not only applicable to the data association in the process of single-target tracking, but also applicable to the data association in the process of tracking two or more targets. Please refer to figure 1 , including:

[0030] Step S1, constructing a reinforcement learning data association model for predicting the target position at the current moment in combination with the state of the target at the previous moment and the motion attributes;

[0031] The current moment here is known in the training process as the radar’s real measurement point data (excluding clutter measurement data) of the target in a certain period of time and the real track point data of the target in the certain period of time. The process is known to be the measurement point data (including clutter point data and real data) of the radar target after the abov...

Embodiment 2

[0135] Based on the first embodiment above, the present invention provides a multi-target tracking data association system, including a memory and a processor, the memory stores a multi-target tracking data association program, and the processor runs the multi-target tracking data association program Execute the steps in any embodiment of the method above.

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Abstract

The invention discloses a multi-target tracking data association method and system. The method comprises: regarding a track of a target measurement point in a known starting time period as a reinforced learning training process according to a multi-target tracking data association characteristic, generating random noise around a one-step known measurement point, wherein both a clutter point and the known measurement point are regarded as radar acquisition measurement points; screening out candidate measurement points and a target motion characteristic from the measurement points according to atracking gate, performing data association on all candidate measurement points by using sport matching and reinforced learning according to a matching rate and a position distribution rule, checkingan association result by using the one-step known measurement point, and training an experience matrix of a reinforced learning model; and performing, according to the trained experience matrix in combination with sport matching, data association on a track point that the target enters a clutter area, and continuing to optimize the experience matrix by using the association result until track association is completed. Problems in the prior art that a correct association rate is relatively low and calculation complexity is relatively high are resolved, so that a correct association rate is improved, and 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...

Claims

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Application Information

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IPC IPC(8): G01S13/72
CPCG01S13/726
Inventor 张艳曲承志苏东杨雪榕张鑫
Owner SUN YAT SEN UNIV
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