Line spectrum signal object automatic detection method based on single-vector submerged buoy

An automatic detection, single vector technology, applied in the field of automatic detection of line spectrum signal targets, can solve the problems of difficult to achieve automatic detection of line spectrum targets, line spectrum instability and energy instability, etc. Occasional threshold false alarms and effects of eliminating influence

Active Publication Date: 2016-01-06
HARBIN ENG UNIV
View PDF4 Cites 26 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0008] The purpose of the present invention is to provide a method for automatic detection of line spectrum signal targets based on single vector latent markers that

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
  • Line spectrum signal object automatic detection method based on single-vector submerged buoy
  • Line spectrum signal object automatic detection method based on single-vector submerged buoy
  • Line spectrum signal object automatic detection method based on single-vector submerged buoy

Examples

Experimental program
Comparison scheme
Effect test

specific Embodiment approach 1

[0029] The automatic detection method of the line spectrum signal target based on the single vector latent mark in this embodiment, the detection method is realized by the following steps: as figure 1 , figure 2 as shown,

[0030] Step 1, first-level detection:

[0031] The spectral data is used as input, and the number, frequency and orientation information of the threshold-crossing line spectra in the spectral data at the current moment are output through the first-level detection;

[0032] Step two, secondary detection:

[0033] Carry out time-based dynamic accumulation of the over-threshold line spectrum output after the first-level detection in step one, and count the number of cross-threshold times of the over-threshold line spectrum after each first-level detection, which is used for the following third-level detection, and the over-threshold line spectrum The frequency and azimuth information are cached in the tracking line spectrum buffer area for comparison with ...

specific Embodiment approach 2

[0038] The difference from Embodiment 1 is that in the method for automatic detection of line spectrum signal targets based on single-vector latent markers in this embodiment, the number, frequency and The process of orientation information is, for example, figure 2 The shown line spectrum automatically detects the first-level detection block diagram in the signal processing block diagrams at all levels,

[0039] Step 11, the sound pressure channel signal P is sequentially processed by the fast discrete Fourier transform operation method FFT and the average periodogram method to obtain a stable frequency spectrum curve;

[0040] Step one and two, take the logarithm of the stable spectrum curve, and then use the two-way α filtering method to obtain the continuous spectrum envelope;

[0041] Step 13: On the basis of the continuum envelope, remove the continuum interference background by adding a fixed value of the first-level detection threshold DT, obtain the line spectrum ou...

specific Embodiment approach 3

[0043] The difference from the second embodiment is that the process of obtaining the continuum envelope by using the two-way α filtering method described in step 12 is to use the two-way α filtering method to obtain the continuum envelope. The specific implementation process is as follows Figure 4 as shown,

[0044] First, set the measurement frequency band to f L ~ f H , f L and f H are the lower frequency limit and the upper frequency limit respectively;

[0045] Then, according to the calculation result of the power spectrum, the calculation formula of the two-way α filter of the two-way filter is adopted:

[0046]Y(k)=Y(k-1)+α[X(k)-X(k-1)] extracts the continuum trend; among them, X(k) represents the input sequence of the filter, and Y(k) represents the two-way The output sequence of the filter, k represents the current point in the sequence, and k-1 represents the previous point of the current point k. The input sequence in the present invention is a sound pressur...

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 line spectrum signal object automatic detection method based on a single-vector submerged buoy. Sound pressure and vibration velocity signals of a vector hydrophone are obtained through the single-vector submerged buoy, and sound pressure and vibration velocity channel signals are taken as input, and quantity, frequency and orientation information of line spectrums beyond a threshold is obtained through primary detection; a primary detection result is taken as input of secondary detection, secondary dynamic accumulation is carried out on the multiple line spectrums beyond the threshold in terms of time, and the dynamic accumulated number of each line spectrum and buffer memory information of frequency and orientation information of the line spectrums are obtained; an automatic line spectrum tracking program is started on stable line spectrums; multiple line spectrums from the same object are merged; and an object quantity and an object orientation result are output. According to the invention, by making full use of the advantage of high signal-to-noise ratio of line spectrum detection, multiple unstable factors of the line spectrums can be overcome, and automatic detection of line spectrum objects is realized.

Description

technical field [0001] The invention relates to an automatic detection method of a line spectrum signal target based on a single vector latent mark. Background technique [0002] Automatic detection technology is a new subject developed with the appearance of computer, and it is widely used. Automatic detection technology can use the excellent resources of the computer to realize the automatic analysis, detection and measurement functions of the target signal through specific software algorithm programming, which can significantly improve the efficiency of the system and reduce the consumption of resources, workload and time due to manual judgment , more suitable for unattended and all-weather monitoring applications. [0003] The vector hydrophone has directivity characteristics independent of frequency, and a single vector hydrophone can realize the azimuth estimation of low-frequency targets, which has attracted extensive attention in recent years. The vector submersibl...

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): G01S15/66
CPCG01S15/66
Inventor 梅继丹孙大军师俊杰马超陈晓
Owner HARBIN ENG 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