A multi-array track association method based on multi-features

A track correlation, multi-feature technology, applied in the re-radiation of sound waves, instruments, measurement devices, etc., can solve problems such as the impact of multi-array track correlation performance, and achieve the effect of improving the correct correlation rate and optimizing the correlation quality.

Active Publication Date: 2021-04-13
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-target marine environment, only relying on pure azimuth information will greatly affect the performance of multi-array track correlation.

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  • A multi-array track association method based on multi-features
  • A multi-array track association method based on multi-features
  • A multi-array track association method based on multi-features

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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 present invention proposes a multi-array track correlation method based on multi-features. First, a grey correlation algorithm is used to perform track correlation processing on the target orientation information obtained by different arrays after data normalization, so as to obtain the target orientation track correlation degree; The gray correlation algorithm is used to perform track correlation processing on the output energy information of the target beam obtained by different arrays after energy compensation, and the target energy track correlation degree is obtained; Envelope spectrum frequency information, and compare the difference values, take the minimum value of the absolute value of each frequency difference as the comparison value of the multi-array frequency, and obtain the track correlation degree of the DEMON spectrum information; then use the Dempster combination rule to combine the above three. The correlation degree of the multi-array tracks is fused to obtain the joint correlation degree of the multi-array tracks; finally, the associated track is selected according to the joint correlation degree. Compared with the pure azimuth track correlation method, the multi-feature track correlation algorithm can optimize the correlation quality and improve the correct correlation rate.

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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Patent Type & Authority Patents(China)
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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