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A data association method under the condition of multi-sensor multi-target tracking

A multi-target tracking and data correlation technology, applied in the direction of instruments, radio wave reflection/re-radiation, measurement devices, etc., it can solve the problems such as the surge in algorithm calculation and the difficulty in meeting the real-time tracking performance, and achieve the effect of ensuring real-time performance.

Active Publication Date: 2022-06-21
NO 20 RES INST OF CHINA ELECTRONICS TECH GRP
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Problems solved by technology

Although the accuracy of these data association methods for multi-sensor multi-target tracking has been improved, they all have problems with the increase in the number of targets and measurements, and the surge in algorithm calculations makes it difficult to meet the real-time requirements of tracking.

Method used

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  • A data association method under the condition of multi-sensor multi-target tracking
  • A data association method under the condition of multi-sensor multi-target tracking
  • A data association method under the condition of multi-sensor multi-target tracking

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Embodiment Construction

[0037] The present invention will be further described below with reference to the accompanying drawings and embodiments, and the present invention includes but is not limited to the following embodiments.

[0038] The present invention firstly conducts a qualitative analysis on the multi-sensor realization of multi-target tracking problem under multi-platform, and considers that the data association problem is a high probability event, and does not require the most accurate measurement on each association. It is also permissible for the measurements to be correlated because the actual measurements do not represent the true position of the target due to sensor error. Secondly, finding the most matching measurement for multiple targets among a large number of measurements is essentially the problem of finding the optimal objective function under certain constraints, so it can be transformed into an optimization problem based on constraints.

[0039] Based on the above analysis,...

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Abstract

The invention provides a data association method under the condition of multi-sensor multi-target tracking, judging whether the measurement is an alternative measurement of the target; establishing the objective function and its constraint conditions, making adaptive improvements to the particle swarm algorithm, and quickly The optimal solution is obtained to find the suboptimal solution, and the ant colony algorithm is improved so that each parameter in the ant colony algorithm matches the objective function and constraint conditions, and the optimal solution is further quickly solved. Through iterative optimization, N objectives The N optimal measurement values ​​are matched, and the correlation operation of multi-sensor and multi-target tracking period is completed. By adopting the mixed group intelligent algorithm, the present invention can quickly obtain the correlation result on the basis of ensuring the accuracy of the correlation, and ensures the real-time performance of the correlation algorithm.

Description

technical field [0001] The invention relates to a target tracking method, in particular to a data association method when multiple sensors track multiple targets under multiple platforms. Background technique [0002] Data association is a key link to achieve multi-target tracking. When the target tracking is implemented in the battlefield environment, there are a large number of measurement values ​​caused by multiple targets, clutter, and interference. When there are multiple measurement data in a tracking gate, or a measurement is in multiple tracking gates at the same time, using an effective algorithm to select the real measurement is the main problem to be solved by multi-target data association. In the actual battlefield environment, under the constraints of the tracking gate, the situation that "one target corresponds to multiple alternative measurements, or one measurement corresponds to multiple targets" often occurs. [0003] The Nearest Neighbor (NN) method amo...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01S13/72
Inventor 袁德平
Owner NO 20 RES INST OF CHINA ELECTRONICS TECH GRP
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