Maneuvering sound source position estimation method based on acoustic vector sensor

A sound vector sensor, sound source orientation technology, applied in the field of signal processing, can solve the problems of large computational load, low estimation accuracy, unsuitable for real-time processing, etc.

Inactive Publication Date: 2015-02-04
HENAN UNIV OF SCI & TECH
View PDF2 Cites 11 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to provide a method for estimating the direction of a mobile sound source based on an acoustic vector sensor, so as to solve the problem that most of the current sound source localization research technologies of the sound vector sensor are aimed at stationary sound sources, and the estimation accuracy is low and the amount of calculation is low when estimating the direction of a mobile sound source. Large, unsuitable problems for real-time processing

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
  • Maneuvering sound source position estimation method based on acoustic vector sensor
  • Maneuvering sound source position estimation method based on acoustic vector sensor
  • Maneuvering sound source position estimation method based on acoustic vector sensor

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0042] The specific embodiments of the present invention will be further described below in conjunction with the accompanying drawings.

[0043] The vector sensor consists of three orthogonal dipole vibration velocity sensors and a monopole sound pressure sensor. Acoustic vector sensor can simultaneously obtain the information of sound pressure and vibration velocity at a certain point in space. The sensor model is as follows: figure 1 shown. Consider a far-field sound source S (satisfies the plane wave condition) with a loading rate f at a certain time k. define u k is the sound source direction vector opposite to the direction of arrival:

[0044]

[0045] Among them, θ k ∈[-π / 2, π / 2] is the pitch angle of the acoustic signal incident vector, is the azimuth angle of the signal source, p k is the sound pressure of the sound source; v k =[v xk , v yk , v zk ] T represents the sound source vibration velocity and:

[0046] v k =-p k u k / (ρ 0 c) (2)

[0047]...

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 maneuvering sound source position estimation method based on an acoustic vector sensor and belongs to the technical field of signal processing. The method is characterized by, to begin with, estimating a spatial domain noise covariance matrix, and solidifying weighting parameters in a maximum energy positioning method through a noise-whitening method, thereby preventing the one-dimensional search process selected by the optimum weighting parameters, and improving estimation precision of the maximum energy positioning algorithm; and then, with maximum energy positioning estimation sub-output and prior information of sound source uniform motion being combined, maneuvering sound source position estimation precision is further improved by utilizing the Kalman filtering technique in a polar coordinate system. Through theoretical analysis and simulation study, the estimation precision of the maneuvering sound source position estimation and tracking method based on the acoustic vector sensor is superior to that of the original maximum energy positioning method; and the Kalman filtering technique is utilized, the mean square angle error is lower than that of the CRLB (Cramer-Rao Lower Bound) under the condition of static sound source positioning.

Description

technical field [0001] The invention relates to a method for estimating the direction of a mobile sound source based on an acoustic vector sensor, and belongs to the technical field of signal processing. Background technique [0002] In the field of signal processing, Direction of Arrival (DOA) estimation is an important research topic, and it has a wide range of applications in navigation, target positioning, and beamforming. In 1994, after Nehorai et al. introduced the acoustic vector sensor receiving signal model into the field of signal processing, the signal processing of the acoustic vector sensor became a hot research topic. Compared with the traditional sound pressure sensor which only perceives sound pressure information, the acoustic vector sensor can also sense particle vibration velocity, which increases the amount of information obtained and is expected to obtain a more accurate understanding of the state of the sound source. Therefore, it has attracted the att...

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): G01S3/802
CPCG01S3/8083
Inventor 侯云山金勇翟红村徐向艺李佩佩汤艳红翟普杰
Owner HENAN 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

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