Multi-feature based multi-array track correlation method

A track correlation and multi-feature technology, which is applied in the directions of sound wave re-radiation, re-radiation utilization, and measurement devices, can solve the problems of multi-array track correlation performance, and achieve the effect of improving the correct correlation rate and optimizing the correlation quality

Active Publication Date: 2019-03-08
THE 715TH RES INST OF CHINA SHIPBUILDING IND CORP
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Problems solved by technology

[0004] The above-mentioned traditional methods are all for track correlation based on pure azimuth information. In a complex multi-...

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  • Multi-feature based multi-array track correlation method
  • Multi-feature based multi-array track correlation method
  • Multi-feature based multi-array track correlation method

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Embodiment Construction

[0014] The present invention will be described in detail below in conjunction with accompanying drawing:

[0015] The present invention mainly proposes to fuse characteristic information such as multi-array target azimuth, beam domain energy and DEMON spectrum to carry out multi-array track correlation, and its steps are as follows:

[0016] First of all, the target orientation track information is regarded as the time series of the target orientation information. After the data is normalized, the gray correlation method can be used for track correlation processing;

[0017] Second, the energy track information output by the target beam is regarded as a time series of energy information. After energy compensation is performed on the energy series obtained by different arrays, the gray correlation method can also be used for track correlation processing;

[0018] Thirdly, by analyzing the demodulated DEMON spectrum of the received broadband signal, the line spectrum of the obta...

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Abstract

The invention provides a multi-feature based multi-array track correlation method. The method includes performing track correlation processing on the target azimuth information obtained by different arrays after data is normalized by adopting a grey correlation algorithm so that a target azimuth track correlation degree can be obtained; performing track correlation processing on target beam outputenergy information obtained by the different arrays after energy compensation by adopting the grey correlation algorithm so that a target energy track correlation degree can be obtained; performing line spectrum extraction on target DEMON spectrums obtained by the different arrays to obtain the envelope spectrum frequency information of a target, performing difference comparison, and taking the minimum value of absolute values in each frequency difference as the comparison value of multi-array frequency so that the track correlation degree of DEMON spectrum information can be obtained; performing fusion on the above correlation degrees through a Dempster combination rule so that a multi-array joint correlation degree can be obtained; and performing selection on correlation tracks according to the joint correlation degree. Compared with pure azimuth track correlation methods, the method can optimize correlation quality and enhance correct correlation rates.

Description

technical field [0001] The invention relates to the field of multi-array target track association in a sonar system, and mainly relates to a multi-array track association method based on multiple features. Background technique [0002] Multi-array data association is the key technology for the generation of a unified target situation in a multi-array sonar system. trace association problem. The performance of data association algorithm directly affects the performance of sonar system target unified situation generation. Over the years, many experts and scholars have conducted a lot of research on data association and derived many classic algorithms. It can be mainly divided into statistical correlation method and fuzzy correlation method. [0003] The statistical association method uses the statistical distance between multi-array tracks as the criterion for association judgment. When the statistical distance between one track and another track is less than a certain thre...

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Application Information

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IPC IPC(8): G01S15/66
CPCG01S15/66
Inventor 龚轶祝献
Owner THE 715TH RES INST OF CHINA SHIPBUILDING IND CORP
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