Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Near-field source L-type acoustic vector sensor array ambiguity-resolving multi-parameter estimation method

An acoustic vector sensor and near-field source technology, applied in the field of signal processing, can solve problems such as estimation error, limited accuracy of signal parameter estimation, array phase ambiguity, etc.

Active Publication Date: 2017-06-20
SHAANXI SCI TECH UNIV
View PDF10 Cites 8 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The accuracy of signal parameter estimation is limited by the size of the array aperture. The larger the array aperture, the higher the parameter estimation accuracy. The sparse arrangement of the array expands the array aperture, but it will introduce the problem of array phase ambiguity. At this time, the estimated phase is directly used to calculate the signal parameters. Estimates will be wrong

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
  • Near-field source L-type acoustic vector sensor array ambiguity-resolving multi-parameter estimation method
  • Near-field source L-type acoustic vector sensor array ambiguity-resolving multi-parameter estimation method
  • Near-field source L-type acoustic vector sensor array ambiguity-resolving multi-parameter estimation method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0040] In order to make the above and other objects, features and advantages of the present invention more apparent, the following specifically cites the embodiments of the present invention, together with the accompanying drawings, for a detailed description as follows.

[0041] figure 1 Shown is a schematic diagram of an acoustic vector sensor array according to an embodiment of the present invention. The acoustic vector sensor array of the present invention is composed of M array elements arranged at equal intervals on the x-axis and M array elements arranged at equal intervals on the y-axis. The array elements on the coordinate origin share two axes, so the entire array has a total of 2M -1 array element, M is the number of array elements on the x-axis (or y-axis), and the distance between array elements on the x-axis is d x and the spacing d between array elements on the y-axis y are greater than a quarter of the minimum wavelength, and the elements of the array are aco...

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 near-field source L-type acoustic vector sensor array ambiguity-resolving multi-parameter estimation method. The method is characterized in that the array receives K different-frequency narrow-band independent stationary near-field signals; full array reception data z is subjected to correlation operation to obtain array steering vector estimation values, B<^>1 and B<^>2,before and after time delay respectively and a full data array steering vector estimation value B<^>; a frequency estimation value f<^>k is obtained through a delay matrix estimation value [phi]<^>, the array steering vector estimation value B<^>1 is divided into x-axis, y-axis and z-axis vibration velocity components and sound pressure intensity sub-matrix steering vector, and according to rotation invariant relation [phi]<^>1, [phi]<^>2 and [phi]<^>3 of the sub-matrix steering vector, an angle-of-arrival roughly-estimated value (theta<^>k, phi<^>k) and a distance roughly-estimated value r<^>k) are obtained; and through azimuth angle and pitch angel and the distance roughly-estimated values, phase difference matrix period fuzzy number estimation vectors p<^>optx and p<^>opty in the x-axis and y-axis directions are determined, and thus azimuth angle, pitch angel and distance accurately-estimated values of an incident signal can be obtained. The method makes full use of orthogonality of an acoustic vector sensor itself and array aperture information to carry out parameter estimation, and gives a closed-form solution of parameter estimation; and spectrum peak search is not needed, and calculation amount is small.

Description

technical field [0001] The invention belongs to the technical field of signal processing, in particular to a method for estimating near-field source frequency, two-dimensional arrival angle and distance of an acoustic vector sensor array. Background technique [0002] Acoustic vector sensor is a new type of sound source signal direction finding equipment, which is composed of three mutually orthogonal particle velocity sensors and a sound pressure sensor, so it can simultaneously measure the sound pressure intensity and particle vibration in a certain place in the sound field. speed. The two-dimensional angle of arrival estimation technology of acoustic vector sensor array is an important research content in the field of array signal processing, and the research and exploration in this field are still being carried out. Due to the dipole directivity of the acoustic vector sensor itself and the increase in the amount of measurement information, compared with the scalar senso...

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): G01S3/80G01S11/14
CPCG01S3/80G01S11/14
Inventor 王桂宝
Owner SHAANXI SCI TECH UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products