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

High-precision noise adaptive direction finding method

A self-adaptive, high-precision technology, applied to direction finders using ultrasonic/sonic/infrasonic waves, etc., can solve problems such as low accuracy, reduce processing difficulty, facilitate algorithm processing, and meet adaptive needs.

Pending Publication Date: 2022-04-12
CHONGQING UNIV OF ARTS & SCI
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The present invention intends to provide a high-precision noise adaptive direction finding method, which is used to solve the technical problem of low precision of the existing noise adaptive method in the background of strong impact noise

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
  • High-precision noise adaptive direction finding method
  • High-precision noise adaptive direction finding method
  • High-precision noise adaptive direction finding method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0054] The embodiment is basically as figure 1 As shown, a high-precision noise adaptive direction finding method includes the following steps:

[0055] Step 1: Establish a noise-adaptive array direction-finding model based on a uniform line array:

[0056] Step 11: Set the number of array elements of the uniform linear array as M, the distance between the array elements as d, and N uncorrelated signals are incident on the uniform linear array, and the incident angle is θ i , i=1, 2,..., N; the array receiving noise is Gaussian noise or impact noise, and the signal and noise are independent of each other;

[0057] The array received signal data of the array at time t can be expressed as X(t)=AS(t)+N(t), where, and X(t)=[x 1 (t),...,x M (t)] T , x j (t) represents the received data at the jth (j=1, 2, ..., M) array element position at time t, [*] T Represents the transposition operation of matrix vector; A=[a(θ 1 ),…, a(θ N )], for the array flow type, denote the arra...

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 the field of array signal processing, and discloses a high-precision noise adaptive direction finding method, which comprises the following steps of: establishing a noise adaptive array direction finding model based on a uniform linear array to obtain an array receiving data vector; carrying out de-impact smoothing preprocessing on the array receiving data; carrying out noise type judgment by utilizing distribution characteristics of impact noise, and carrying out Gaussian smoothing preprocessing on the array receiving data of an impact noise background by adopting partial median filtering; calculating an array receiving data covariance matrix, and reconstructing smooth noise through the matrix; then, carrying out characteristic decomposition on the array receiving data covariance matrix to obtain a signal subspace and a noise subspace, and further eliminating noise components in the signal subspace by utilizing a subspace projection technology; and finally, carrying out direction finding by adopting an ESPRIT direction finding algorithm. The method is suitable for direction finding of impact noise and Gaussian noise at the same time, the implementation speed is high, and the method still has high direction finding precision under the strong impact noise background with the characteristic index smaller than 0.5.

Description

technical field [0001] The invention relates to the field of array signal processing, in particular to a high-precision noise adaptive direction finding method. Background technique [0002] Most of the classic DOA estimation algorithms are proposed under the assumption that the array element noise is space-time independent Gaussian white noise. However, in the actual application environment, there are many non-Gaussian noises with impact characteristics, such as underwater noise, low-frequency atmospheric noise and various artificial noises. In the prior art, a series of direction-finding algorithms with excellent performance are proposed for Gaussian noise and impact noise, but these algorithms can only be applied to one of Gaussian noise or impact noise, and do not have noise adaptive characteristics. [0003] In order to solve the above problems and enable the direction finding algorithm to cope with the complex and changeable actual noise environment, the prior art pro...

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): G01S3/80
Inventor 安春莲杨守良陈量邓绍江李杰周登梅李鹏
Owner CHONGQING UNIV OF ARTS & SCI
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

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com