Beam domain variational Bayesian azimuth estimation method suitable for strong interference environment

A variational Bayesian and azimuth estimation technology, which is applied in the field of beam domain variational Bayesian azimuth estimation, can solve the problems of affecting the DOA estimation accuracy, algorithm failure, and inability to completely suppress strong interference signals, and achieves enhanced robustness, Avoid affecting and suppressing the effect of strong interference signals

Active Publication Date: 2021-11-19
NORTHWESTERN POLYTECHNICAL UNIV
View PDF8 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

If the l based on CBF beam power output p The norm algorithm is used in the above-mentioned strong interference environment. Due to the high side lobe, the CBF cannot completely suppress the strong interference signal. The interference residual seriously affects the subsequent DOA estimation accuracy, and even causes the algorithm to fail completely.

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
  • Beam domain variational Bayesian azimuth estimation method suitable for strong interference environment
  • Beam domain variational Bayesian azimuth estimation method suitable for strong interference environment
  • Beam domain variational Bayesian azimuth estimation method suitable for strong interference environment

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0055] In describing the present invention, it should be understood that the terms "center", "longitudinal", "transverse", "length", "width", "thickness", "upper", "lower", "front", " Orientation indicated by rear, left, right, vertical, horizontal, top, bottom, inside, outside, clockwise, counterclockwise, etc. The positional relationship is based on the orientation or positional relationship shown in the drawings, which is only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the referred device or element must have a specific orientation, be constructed and operated in a specific orientation, Therefore, it should not be construed as limiting the invention.

[0056] see Figure 1-Figure 6 , the technical solution adopted by the present invention to solve its technical problems comprises the following steps:

[0057] Step 1: Calculate the array received signal sampling covariance matrix

[0058...

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 beam domain variational Bayesian azimuth estimation method suitable for a strong interference environment, and effectively solves the problem of azimuth estimation of a target signal in the strong interference environment. According to the method, a minimum variance undistorted response beam former based on diagonal loading is adopted to suppress strong interference signals, and beam power output is calculated. A posterior probability model is constructed based on the linear relation of beam power output, and variational Bayesian inference is popularized to a beam domain. The target azimuth is estimated under the Bayesian framework, the problem of selecting proper hyper-parameters is avoided, and the practicability of the algorithm is enhanced while target signal azimuth estimation is realized in a strong interference environment.

Description

technical field [0001] The invention belongs to the field of signal processing and the like, and in particular relates to a beam domain variational Bayesian orientation estimation method suitable for a strong interference environment. Background technique [0002] Estimation of underwater target orientation (Direction of arrival, DOA) based on array received signals is a major task in passive sonar signal processing. In the past ten years, sparse reconstruction-like DOA estimation algorithms have received extensive attention because of their low requirements on the number of snapshots and signal-to-noise ratio. According to different principles, algorithms can be divided into l-based p Norm Algorithms and Sparse Bayesian Algorithms. compared to l-based p Norm algorithm, sparse Bayesian algorithm does not need to select any hyperparameters, so it is easier to implement in actual signal processing. [0003] In the actual underwater signal processing system, it is a necessa...

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): G06F30/27G06N7/00G06F17/16G01S3/802G06F111/08G06F111/10
CPCG06F30/27G06F17/16G01S3/802G06F2111/10G06F2111/08G06N7/01Y02D30/70
Inventor 杨益新张亚豪
Owner NORTHWESTERN POLYTECHNICAL 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

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