Underwater intrusion-induced sound field abnormality real-time detecting method

A real-time detection and anomaly technology, applied in seismology, measurement devices, measurement of ultrasonic/sonic/infrasonic waves in areas covered by water, etc., can solve problems such as difficult to achieve real-time detection of targets, and achieve the effect of good detection performance

Active Publication Date: 2019-03-22
NORTHWESTERN POLYTECHNICAL UNIV
View PDF10 Cites 5 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] In view of the current processing method in the fluctuating environment, the forward scattering detection of the target can only be realiz

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 intrusion-induced sound field abnormality real-time detecting method
  • Underwater intrusion-induced sound field abnormality real-time detecting method
  • Underwater intrusion-induced sound field abnormality real-time detecting method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0039] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0040] Step 1: The transmitting end continuously transmits the single-frequency pulse signal, the frequency of the single-frequency pulse signal is 500Hz-20kHz, and the period T of the single-frequency pulse signal is 0.1ms-10s;

[0041] Step 2: The receiving end is a vertical line array composed of 1 to 50 hydrophones, sampling and recording the underwater acoustic signal every period T, the recording time length is 1 to 5 times the pulse length of the transmitted signal, and recording the single sampling The received signals of each hydrophone are beam-formed in the normal direction of the array, and the beam output is the received pulse signal x(t);

[0042] Step 3: Receive data preprocessing.

[0043] The received data matrix X is composed of multiple received pulse signals, expressed as follows:

[0044] X(t)=[x 1 (t),x 2 (t),...,x i (t),...x ...

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 an underwater intrusion-induced sound field abnormality real-time detecting method. The underwater intrusion-induced sound field abnormality real-time detecting method comprisesperiodically transmitting single-frequency pulse signals through a transmitting end, preprocessing received data at a remotely arranged receiving end into training data, establishing a binary tree for the training data to calculate abnormality scores, and according to the abnormality scores, determining whether sound field abnormality caused by forward scattered signals exists to achieve receiving mutation detection on signals received when a target penetrates through a receiving-transmitting connecting line. The underwater intrusion-induced sound field abnormality real-time detecting methodapplies an isolated forest unsupervised learning algorithm to achieve detection of weak sound field abnormality caused by forward scattering of an underwater intruding target and meanwhile to be highin detecting performance. Compared with existing methods, the underwater intrusion-induced sound field abnormality real-time detecting method can achieve real-time detection on forward scattering signals, require no prior information except the training data; by updating the training data, the underwater intrusion-induced sound field abnormality real-time detecting method can adapt to different application environments without adjusting the algorithm.

Description

technical field [0001] The invention relates to the field of underwater communication, in particular to a method for detecting underwater intrusion targets. Background technique [0002] A forward scatter signal is generated when an underwater intruder passes through the line between the receiver and the transmitter. The forward scattered signal interferes with the direct wave, resulting in abnormal changes in the receiving sound field. However, at a long distance, the forward scattered signal is about 20dB weaker than the direct wave, making the abnormal change of the sound field extremely weak, and it is difficult to detect it directly. Currently used detection methods mainly include: [0003] The principle component extraction method based on sound field intensity distortion: perform principal component analysis on multiple received pulse signals, so as to separate the eigenvectors corresponding to the target forward scattering signal and direct wave, and realize the de...

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): G01H17/00G01V1/38H04B13/02
CPCG01H17/00G01V1/38H04B13/02
Inventor 雷波张遥杨益新
Owner NORTHWESTERN POLYTECHNICAL UNIV
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