Nuclear K-mean value track correlation method based on KMDL criteria

A technology of K-means and track correlation, which is applied in electrical digital data processing, special data processing applications, instruments, etc.

Inactive Publication Date: 2015-06-17
XI AN JIAOTONG UNIV
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  • Abstract
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  • Claims
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Problems solved by technology

[0005] In order to overcome the defects in the above-mentioned prior art, the object of the present invention is to provide a kernel K-means track correla

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  • Nuclear K-mean value track correlation method based on KMDL criteria
  • Nuclear K-mean value track correlation method based on KMDL criteria
  • Nuclear K-mean value track correlation method based on KMDL criteria

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Embodiment Construction

[0051] The present invention will be further described in detail below in conjunction with specific embodiments, which are for explanation rather than limitation of the present invention.

[0052] The nuclear K-mean track correlation method based on KMDL criterion criterion of the present invention includes the following steps:

[0053] Step 1: Build a typical track correlation scene

[0054] 1. Target measurement generation

[0055] For maneuvering targets, the target motion mode is uncertain, and the motion characteristics are unpredictable. It is difficult to establish a single accurate model for the maneuvering target. Select commonly used typical models from three commonly used target motion models: uniform motion model (CV), uniform acceleration motion model (CA), and uniform turning motion model (CT) to generate target measurement, which is better close to the real motion of the target mode.

[0056] 2. Clutter generation

[0057] In practical applications, in real combat scenar...

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Abstract

The invention discloses a nuclear K-mean value track correlation method based on KMDL criteria. The method comprises the following steps that firstly, a typical track correlation scene is established; secondly, the number of target tracks is determined based on the KMDL criteria; thirdly, the nuclear K-mean value algorithm is used for conducting correlation on the track observation scene. According to the nuclear K-mean value track correlation method based on the KMDL criteria, the KMDL criteria and the nuclear K-mean value algorithm are combined to solve the multi-target track correlation problem under the complex environment where clutters are dense, targets are near and the number of the targets is not known. According to the method, the movement state information of the targets is fully utilized, the correlation accuracy rate is effectively increased, the correlation criteria are simple and practicable, the calculated amount is small, the correlation accuracy rate is high, it is not sensitive for target intersection, and the method is suitable for track correlation under the environment where the targets are dense and intersect and applicable to engineering realization.

Description

Technical field [0001] The invention belongs to the technical field of multi-sensor multi-target tracking, and specifically relates to a nuclear K-mean track correlation method based on a KMDL criterion criterion. Background technique [0002] The multi-sensor multi-target tracking system mainly receives the local track information from each sensor system through the data link, and then calculates the core issues such as correlation, registration, and fusion of the local track information to form a coordinated detection and fusion target track. [0003] Multi-sensor cooperative target tracking can achieve precise tracking of targets. In practical applications, there are multiple targets to be tracked. At this time, it is necessary to correctly determine the correspondence between the measurement information received by the sensors and the target of interest. However, due to the clutter generated by the false radiation source, interference clutter and false targets, the uncertainty...

Claims

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Application Information

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IPC IPC(8): G06F19/00
Inventor 郭文锁朱洪艳韩崇昭吴丹傅娜
Owner XI AN JIAOTONG UNIV
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