Underwater acoustic target radiation noise modulation spectrum reconstruction method based on group sparse structure

A radiated noise, group sparse technology, applied in radio wave measurement systems, instruments, etc., can solve the problems of unused sub-band modulation spectrum correlation between sub-bands, missing important frequency domain information of signals, and inability to detect spectral lines.

Active Publication Date: 2018-11-30
SOUTHEAST UNIV
View PDF1 Cites 17 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the resolution of the signal line spectrum obtained by the FFT method is affected by the window length, which may prevent the more important spectral lines from being detected, resulting in the omission of important frequency domain information of the signal in the underwater acoustic measurement. On the other hand, the traditional multi-b

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 acoustic target radiation noise modulation spectrum reconstruction method based on group sparse structure
  • Underwater acoustic target radiation noise modulation spectrum reconstruction method based on group sparse structure
  • Underwater acoustic target radiation noise modulation spectrum reconstruction method based on group sparse structure

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0152] In this embodiment, the sampling frequency F s = 4kHz. Using the three-parameter model method to simulate the power spectrum Gxf of the stationary continuum of the radiated noise of underwater acoustic targets, the three parameters are set as follows during the simulation process: sharpness factor ω m =200Hz, spectral peak center position factor ω c =500Hz, the relative proportional influence factor λ=0 of the spectrum high and low frequency band amplitudes, and the signal energy of the smooth continuous spectrum σ=500.

[0153] Simulate the 3 line spectral components of target radiated noise: Set the frequency f of the sinusoidal signal i Respectively 20Hz, 50Hz, 100Hz and the corresponding 4th harmonic line spectrum. The observation time is T=10s. The target radiation noise signal R(t) is obtained by adding the stationary continuum component and the line spectrum component. The spectrum of the target radiated noise signal is as figure 2 shown.

[0154] In this...

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 discloses an underwater acoustic target radiation noise modulation spectrum reconstruction method based on the group sparse structure. The method comprises the following steps that step1, a continuous spectral component R<c> (t) and a linear spectral component R<l> (t) of underwater acoustic target radiation noise are simulated to form underwater acoustic target radiation noise R (t); step 2, the R (t) is subjected to amplitude modulation to obtain a modulating signal x (t); step 3, the x (t) is subjected to normalization, and a band-pass filter is used for obtaining noise modulation signals y<l> (t) of L frequency bands; step 4, amplitude modulation data of the y<l> (t) on each sub-band are estimated, wherein the formula (please see the specification for the formula); step5, a formula (please see the specification for the formula) are subjected to discrete sampling and are represented by a sparse frequency coefficient, wherein the formula (please see the specificationfor the formula), and through designing of prior distribution of a formula (please see the specification for the formula), a high resolution modulation spectrum generation model based on the group sparse structure is constructed; step 6, posteriori distribution of a formula (please see the specification for the formula) is derived based on the expectation maximization method; and step 7, a parameter estimation formula is used for an iterative solution of a formula (please see the specification for the formula) to estimate a high resolution sparse modulation spectrum. Correlation of modulationspectrum positions of sub-bands of underwater acoustic target radiation noise is used for achieving high resolution reconstruction of the underwater acoustic target radiation noise modulation spectrum.

Description

technical field [0001] The invention belongs to the field of sonar signal processing, and in particular relates to a method for reconstructing modulation spectrum of underwater acoustic target radiation noise based on group sparse structure. Background technique [0002] Ship radiated noise is a good underwater sound source. The mechanical vibration noise and propeller noise of underwater targets are the main noise sources of underwater acoustic targets such as surface ships, submarines, and torpedoes. Propeller cavitation noise will produce amplitude modulation with a distinct sense of rhythm. The spectral lines that appear as linear features are called "line spectra". The position of the modulation line spectrum on the spectrogram is relatively stable, and it can reflect some target characteristics such as the propeller speed and the number of blades. Discovery, separation. This feature makes it one of the important factors in object detection and recognition. Therefor...

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): G01S7/539
CPCG01S7/539
Inventor 武其松徐萍罗昕炜方世良
Owner SOUTHEAST 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