Method for judging order of normal wave of shallow sea waveguide based on Bayesian estimation

A technology of Bayesian estimation and judgment method, which is applied in the direction of calculation, computer parts, pattern recognition in signals, etc.

Pending Publication Date: 2021-07-30
JIANGSU UNIV OF SCI & TECH
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, in practical applications, due to the influence of environmental factors, only part of the order of the normal wave signal can be displayed

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
  • Method for judging order of normal wave of shallow sea waveguide based on Bayesian estimation
  • Method for judging order of normal wave of shallow sea waveguide based on Bayesian estimation
  • Method for judging order of normal wave of shallow sea waveguide based on Bayesian estimation

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0029] The technical solution of the present invention will be further described in detail below in conjunction with the accompanying drawings.

[0030] Such as figure 1 As shown, the normal wave determination method based on Bayesian estimation in the present invention, firstly, for the wideband pulse sound source signal propagating in the shallow sea waveguide, it performs time-frequency analysis and processing on the received signal p(t, r), through warping Transformation and frequency-domain narrow-band filtering methods separate the existing normal wave signals in the received signal but do not know the exact modal order, and then use the Hilbert transform to analyze the corresponding dispersion curve F of the normal wave signal n to extract. The dispersion curve F n As the input function of Bayesian estimation, the normal wave order n, sea depth, target distance, seabed phase shift parameters and other marine environmental parameters are used as the inversion quantity,...

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 a method for judging the order of a normal wave of a shallow sea waveguide based on Bayesian estimation, which comprises the following steps of: performing time-frequency analysis processing on a received signal transmitted in the shallow sea waveguide, separating to obtain a normal wave signal with an existing but unknown accurate order, and extracting a corresponding frequency dispersion curve of the normal wave signal. The frequency dispersion curve is used as a Bayesian estimation input function, the normal wave order and the marine environment parameters are jointly used as inversion quantities, a copy field is calculated through a frequency dispersion formula containing the marine environment parameters, and a dual cost function is established for the normal wave order and the marine environment parameters; and optimization searching is performed on parameters in the input function and the copy field according to a cost function, a maximum value corresponding to a posterior probability density is taken as an inversion parameter value, the inversion parameter value is substituted into a frequency dispersion formula to calculate a frequency dispersion curve, and the inversion parameter value is compared with an extracted frequency dispersion curve to obtain orders of different normal wave signals. The method can be realized based on a single hydrophone, and is convenient to operate, low in cost, small in data processing amount, high in calculation speed and relatively high in accuracy.

Description

technical field [0001] The invention belongs to the field of underwater acoustic signal processing and analysis, in particular to a method for judging the normal wave order of a shallow sea waveguide based on Bayesian estimation. Background technique [0002] The received signal after the broadband pulse sound source propagates in the shallow sea waveguide is the superposition of multi-order normal wave signals. Each order normal wave signal carries a large amount of marine environmental information, and is widely used in underwater sound source positioning and environmental parameter inversion. However, in practical applications, due to the influence of environmental factors, only part of the order of the normal wave signal can be displayed. Normal wave signals of different orders have different characteristics and contain different marine environment information. When applying normal wave signals of different orders to underwater sound source localization and inversion, th...

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): G06K9/00G06K9/62G01H3/00
CPCG01H3/00G06F2218/02G06F2218/08G06F2218/12G06F18/24155
Inventor 李晓曼何呈毕雪洁王彪聂星阳
Owner JIANGSU UNIV OF SCI & TECH
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