High-speed maneuvering target tracking method based on linear regression and cluster analysis theories

A technology of maneuvering target tracking and cluster analysis, applied in computer parts, character and pattern recognition, instruments, etc., can solve the problem that the maneuvering target model cannot meet the needs of actual motion, it is difficult to achieve adaptive control of filter parameters, and it is impossible to track target and other issues to achieve stable tracking, preventing filter divergence, and high reference value.

Active Publication Date: 2013-02-13
THE 724TH RES INST OF CHINA SHIPBUILDING IND
View PDF2 Cites 6 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The biggest difficulty in maneuvering target tracking is that the maneuvering target model cannot meet the needs of actual movement
The traditional method is usually to add the relevant maneuver variation to the target maneuver model itself. When the maneuver occurs, the maneuver is judged by setting the threshold and the maneuver variation is adjusted to realize the maneuvering target tracking. This method often has the problem that the maneuver variation cannot meet the actual situation. The need for maneuver changes, so when the maneuver acceleration changes in a large range, the target cannot be tracked; or use a multi-model method to switch between models when a maneuver occurs, or add a filter model to obtain the best target state. location valuation
This method has high algorithm complexity, and it is not easy to realize adaptive control of filter parameters.

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • High-speed maneuvering target tracking method based on linear regression and cluster analysis theories
  • High-speed maneuvering target tracking method based on linear regression and cluster analysis theories
  • High-speed maneuvering target tracking method based on linear regression and cluster analysis theories

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0019] The specific implementation steps of the high-speed maneuvering target tracking method based on linear regression and cluster analysis theory of the present invention (see figure 1 ):

[0020] (1) For the coordinate values ​​in the historical parameters of the main track x and y The sample sets were established respectively, and according to the linear regression model, the estimated values ​​of the parameters obtained were:

[0021]

[0022] in, and is the sample mean, n is the number of main track tracking cycles, for the sample set Z No. n The estimated value of the cycle, for the front n The mean estimate for -1 period, i.e. is the simulated maximum maneuvering acceleration, .

[0023] (2) According to value, established as figure 2 The wave gate shown in the figure, and the dot-trace correlation is performed to obtain the split track respectively , and ;

[0024] (3) Use the dot trace parameter projection method (such as image 3 ) ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention relates to a high-speed maneuvering target tracking method based on linear regression and cluster analysis theories. The method is mainly suitable for radar to track a target which has a high speed and a wide-range variation of an accelerated speed, and the method can achieve stable tracking of various maneuvering conditions under the condition that real-time performances are guaranteed. The method includes implement processes that firstly, a sample set is established for historical parameters of a maneuvering target track, a self-adaption relevance wave door is designed according to regression analysis theories, and the track is split to form a plurality of tracks; then a sample with concentrated main tracks is projected to extract feature vectors, and a cluster center is acquired and the similarity in a cluster is calculated according to the cluster analysis theories; projection values of split track parameters are sequentially obtained by means of the same method, and the projection values are samples to be resolved; and finally, an interest target track is extracted according to a similarity discrimination criterion. According to practical engineering application of the method, the method is capable of achieving stable tracking of the high-speed strong maneuvering target and has wide application prospects with continuous improvement of maneuvering capability of future weaponry.

Description

technical field [0001] The invention belongs to the maneuvering target tracking technology in radar data processing, and adopts a high-speed maneuvering target tracking method based on linear regression and cluster analysis theory. Background technique [0002] Maneuvering target tracking is an important topic in radar data processing. At present, with the continuous improvement of the maneuverability of the target itself, the maneuverability has become an important tactical index for measuring the weapon system. Therefore, the problem of maneuvering target tracking with large-scale changes or sudden changes in maneuvering acceleration has been widely concerned. Tracking high-speed maneuvering targets is a problem that modern radar systems must solve. [0003] The biggest difficulty in maneuvering target tracking is that the maneuvering target model cannot meet the needs of actual movement. The traditional method is often aimed at the target maneuver model itself, adding t...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/46
Inventor 孟凡邢永昌郑庆琳刘建
Owner THE 724TH RES INST OF CHINA SHIPBUILDING IND
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products