Acoustic vector sensor DOA estimation method based on matrix decomposition under data loss

An acoustic vector sensor and matrix decomposition technology, applied in complex mathematical operations, systems for determining direction or offset, direction finders using ultrasonic/sonic/infrasonic waves, etc., which can solve problems such as increasing computational complexity and increasing data volume.

Pending Publication Date: 2021-11-23
NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The current common method is to apply the matrix filling method to the DOA estimation of the traditional scalar sensor array, by constructing the Hankel matrix for the received signal data, but in the process of constructing the Hankel matrix, the amount of data to be processed is increased, and the computational complexity is increased.

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
  • Acoustic vector sensor DOA estimation method based on matrix decomposition under data loss
  • Acoustic vector sensor DOA estimation method based on matrix decomposition under data loss
  • Acoustic vector sensor DOA estimation method based on matrix decomposition under data loss

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0067] Embodiments of the invention are described in detail below, examples of which are illustrated in the accompanying drawings. The embodiments described below by referring to the figures are exemplary only for explaining the present invention and should not be construed as limiting the present invention.

[0068] The present invention provides a two-dimensional angle of arrival estimation method based on low n-rank minimized tensor filling in the case of missing data, which specifically includes the following steps:

[0069] Step 1: Arrange any acoustic vector sensor array in the measurement scene, obtain the received signal, and construct the tensor model of the received signal;

[0070] Step 2: Using the low-rank feature of the tensor model, use the tensor completion algorithm based on matrix decomposition to complete the missing data for the tensor model constructed in step 1;

[0071] Step 3: Expand the completed tensor data to obtain the complete received signal matr...

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 acoustic vector sensor DOA estimation method based on matrix decomposition under data loss, and the method specifically comprises the following steps: firstly, arranging any acoustic vector sensor array in a measurement scene, obtaining a received signal, and constructing a received signal tensor model; then, by utilizing the low-rank characteristic of the tensor model, performing missing data completion on the constructed received signal tensor model by using a tensor completion algorithm based on matrix decomposition; and finally, expanding the complemented tensor data according to a folding direction to obtain a complete received signal matrix after data complementation, and performing information source direction-of-arrival estimation on the complemented complete received signal matrix by using an ESPRIT algorithm for any acoustic vector sensor array. According to the method, accurate DOA estimation can be realized when part of array elements in any acoustic vector sensor array are damaged.

Description

technical field [0001] The invention relates to a DOA estimation method of an acoustic vector sensor based on matrix decomposition under data absence, and belongs to the technical field of signal processing and utilization. Background technique [0002] The direction of arrival (DOA) estimation of space signals is one of the important research directions in the field of array signal processing, and it has been widely used in communication, radar, navigation, sonar and other fields. So far, sound waves are not only the energy form with the best propagation performance in the ocean, but also the only energy form that can propagate long distances underwater. Therefore, underwater acoustic signal processing technology plays a vital role in the detection of underwater targets. important role. The acoustic vector sensor can obtain vector signals such as particle velocity and particle acceleration in the underwater sound field. The appearance of the acoustic vector sensor array h...

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): G01S3/802G06F17/16
CPCG01S3/802G06F17/16
Inventor 唐磊明张小飞朱倍佐叶长波
Owner NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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