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Track correlation method based on LHD gray correlation degree

A technology of gray correlation degree and track correlation, which is applied in the field of track correlation, can solve the problems of ignoring multi-target track correlation problems, and the inability to apply multi-target tracking, so as to achieve high target tracking accuracy, small calculation amount, and improve accuracy degree of effect

Inactive Publication Date: 2018-06-15
SHANGHAI RADIO EQUIP RES INST
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AI Technical Summary

Problems solved by technology

This algorithm has good error tolerance performance, but this method mainly studies the track correlation problem when the time-varying system deviation exists in the radar network, and ignores the multi-target track correlation problem in the dense clutter environment, so it cannot be applied to Multi-Target Tracking in Complex Environment

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  • Track correlation method based on LHD gray correlation degree
  • Track correlation method based on LHD gray correlation degree
  • Track correlation method based on LHD gray correlation degree

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Embodiment Construction

[0038] based on the following Figure 1 ~ Figure 3 , specifically explain the preferred embodiment of the present invention.

[0039] Such as figure 1 As shown, the present invention provides a kind of track correlation method based on LHD gray correlation degree, comprises the following steps:

[0040] Step S1, acquiring multiple target information scanned by multiple sensors, and processing to obtain a target track sequence;

[0041] Step S2, calculating the gray correlation degree between the target tracks acquired by multiple sensors;

[0042] Step S3, calculating the gray relational matrix according to the gray relational degree;

[0043] Step S4, determining the gray correlation threshold;

[0044] Step S5, obtaining the track correlation matrix, and determining the track correlation according to the track correlation matrix.

[0045] In the step S1, the track information scanned by the two sensors is respectively X i =(x i (1), x i (2),...,x i (S)), i=1,2,...,M,Y...

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Abstract

The invention discloses a track correlation method based on a LHD gray correlation degree. The method comprises acquiring multiple target information scanned by multiple sensors, carrying out processing to obtain a target track sequence, computing a grey relational degree between target tracks acquired by multiple sensors, calculating a gray correlation matrix according to the grey relational degree, determining a grey relational threshold to obtain a track correlation matrix and determining track correlation according to the track correlation matrix. The track correlation method has a high target track precision, and fast and correctly associates with the target track in a dense cluttered environment. The method effectively improves the accuracy of the track association algorithm, has a small amount of calculation and can be well used in the engineering practice.

Description

technical field [0001] The invention relates to a track association method based on gray correlation degree of LHD (distance between line segment sets). Background technique [0002] Many problems may occur in the process of multi-radar track correlation, such as time calibration, system deviation, random error of observation, etc. Theoretically speaking, the translation of the target track is caused by the distance deviation measured by the radar sensor, the rotation of the target track is caused by the angle deviation measured by the radar sensor, and the translation and rotation of the target track will cause the quantity There is an offset between the measured track and the real track of the target, and the traditional filtering method cannot solve this problem, so the gray correlation analysis algorithm is introduced. The gray relational analysis method is simple, convenient and easy to understand. It does not need to grasp the number and distribution of samples. These...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01C21/24
CPCG01C21/24
Inventor 李爽爽谭姗姗王文晴
Owner SHANGHAI RADIO EQUIP RES INST
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