Multi-target data fusion method and system based on hydroacoustic sensor network

An underwater acoustic sensor, data fusion technology, applied in the direction of network topology, electrical components, wireless communication, etc., to achieve significant effects, overcome false alarms and missed alarms, and simple calculation.

Inactive Publication Date: 2012-12-19
INST OF ACOUSTICS CHINESE ACAD OF SCI
View PDF1 Cites 31 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] Since a single azimuth detection node cannot perform target positioning and tracking, multiple nodes are required for simultaneous target positioning and tracking, and the multi-node characteristics of the underwater acoustic sensor network provide ...

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
  • Multi-target data fusion method and system based on hydroacoustic sensor network
  • Multi-target data fusion method and system based on hydroacoustic sensor network
  • Multi-target data fusion method and system based on hydroacoustic sensor network

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0050] The present invention—a multi-target real-time data fusion method based on an underwater acoustic sensor network—will be described in detail below in conjunction with the block diagram.

[0051] The present invention divides data association into two parts, namely: measurement value-track data association, measurement value-measurement value data association wherein the algorithm of measurement value-track association has nearest neighbor algorithm, JPDA method etc., nearest neighbor algorithm The amount of calculation is simple, and it is easy to implement; from the perspective of probability, the JPDA algorithm calculates the joint probability density of various possible association combinations, and then weights the state of the target. With the increase of the number of targets and the number of azimuth measurement values, the The amount of calculation of the method is combinatorially explosive. In the measurement value-measurement value association process, classic...

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 provides a multi-target data fusion method and system based on a hydroacoustic sensor network. The multi-target data fusion method comprises the following steps: (101) arranging a plurality of collecting nodes of the hydroacoustic sensor network in an observation area, arranging N collecting nodes in a water area, obtaining the azimuth information of a plurality of target elements, and transmitting the obtained azimuth information of the target elements to a main node, the N collecting nodes adopts line array hydrophones or vector hydrophones as detection parts, and the detection parts can process signals in real time, and the azimuth information of the target elements is observed by each collecting node in the observation area; and (102) fusing the data of the azimuth information of the target elements by the main node: associating data by the main node according to the azimuth information of the target elements and the information data of the targets stored in the main node by adopting the data associating strategy, and tracking and positioning the multiple targets to finish the track initiating, maintaining and deleting of the multiple targets.

Description

technical field [0001] This system relates to the field of sonar signal processing. In particular, it relates to a multi-target data fusion method and system based on an underwater acoustic sensor network for multi-target data fusion using an underwater acoustic sensor network. Background technique [0002] The underwater acoustic sensor network is to deploy several underwater acoustic sensor nodes in a certain underwater area. The underwater sensor nodes can not only obtain underwater information, but also complete the functions of underwater communication and networking between them. With a certain signal processing function, each sensor node transmits the acquired underwater information to a specific node (master node) through the underwater acoustic sensor network, and then the master node incorporates the information of all sensor nodes into the conventional network on shore through wireless or wired means. , and sent to the observer's underwater network. [0003] The...

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
IPC IPC(8): H04W84/18
Inventor 曹利李宇黄勇
Owner INST OF ACOUSTICS CHINESE ACAD OF SCI
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

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap