Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Underwater sound multi-target autonomous detection and orientation tracking method

A target orientation and multi-target technology, applied in the field of underwater acoustic multi-target autonomous detection and azimuth tracking, can solve the problems of multiple target azimuths approaching each other, uncertain interruptions and outliers, track intersections, etc.

Inactive Publication Date: 2015-06-24
INST OF ACOUSTICS CHINESE ACAD OF SCI
View PDF2 Cites 31 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0008] The purpose of the present invention is to overcome the uncertain interruption and outliers in the azimuth history caused by the complexity of the underwater acoustic environment in the process of multi-target tracking without human intervention, and the problems that the azimuths of multiple targets are close to each other or even track crossing , thus proposing an underwater acoustic multi-target autonomous detection and azimuth tracking method without human intervention

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
  • Underwater sound multi-target autonomous detection and orientation tracking method
  • Underwater sound multi-target autonomous detection and orientation tracking method
  • Underwater sound multi-target autonomous detection and orientation tracking method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0092] The specific embodiment of the present invention will be further described in detail below in conjunction with the test data on a certain lake and the accompanying drawings.

[0093] The azimuth course obtained by processing the sonar of an unmanned aerial vehicle as input data, as attached Figure 4 As shown, the time length of each shot of data is 68ms, the duration of the entire data is 300s, and a total of 4410 shots of beam data.

[0094] The multi-target azimuth tracking method without manual intervention is used to carry out autonomous azimuth tracking on this piece of data. The specific steps are as follows:

[0095] Step 1: The current moment is t k , the beam curve is denoted as B i (t k )(i=1,2,…,180°), it performs autonomous orientation detection. First calculate the mean E[B of the beam curve i (t k )] and variance δ[B i (t k )], and then calculate each orientation detection coefficient

[0096] DT [ B ...

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 an underwater sound multi-target autonomous detection and orientation tracking method. According to the method, a two-dimensional cache array is set to store target tracks and is used for predicating the orientation of the next moment of the target and performing data association with detection values, and therefore stable and accurate continuous target orientation information can be obtained by combining data association and an orientation preset tracking algorithm. The method concretely includes the steps of autonomous orientation detection, orientation predication, orientation association, target judgment, and repetition of the steps. The method overcomes the defects of uncertain interruption and outliers, caused by underwater sound environment complexity, of an orientation course, and mutual approaching of orientations of multiple targets even track intersection in the multi-target tracking process without manual intervention. The method can be directly applied to an unattended sonar system like an underwater unmanned aircraft detecting sonar system.

Description

technical field [0001] The invention belongs to the field of sonar digital signal processing, and particularly relates to a method for underwater acoustic multi-target autonomous detection and azimuth tracking without human intervention, which can be directly used in unattended sonar systems, such as underwater unmanned vehicle detection sonar Wait. Background technique [0002] After the underwater detection sonar obtains the beam curve, it needs to detect the target and continuously track the target azimuth to obtain stable and accurate continuous target azimuth information, that is, to obtain the stable track of the target. In the prior art, the conventional method is to manually set the detection threshold, adjust it in real time according to the actual situation, and correct the target tracking result in real time to ensure that the target detection and tracking are stable and correct. [0003] According to the working environment and real-time characteristics of the u...

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): G01S15/66
CPCG01S15/66
Inventor 李峥黄海宁李宇
Owner INST OF ACOUSTICS CHINESE ACAD OF SCI
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com