Sparsity-based spread coprime linear-array angle estimation method

An angle estimation and sparsity technique, applied in the field of spatial spectrum estimation, can solve the problem of lack of expanded coprime linear array, etc., and achieve the effect of high estimation accuracy, large spatial degrees of freedom, and high-precision angle estimation

Pending Publication Date: 2019-04-12
NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
View PDF6 Cites 8 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] To sum up, the existing technology lacks a method for estimating the angle of an expanded coprime line array, which can utilize all virtual array elements, including discontinuous parts, to achieve high-precision angle estimation

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
  • Sparsity-based spread coprime linear-array angle estimation method
  • Sparsity-based spread coprime linear-array angle estimation method
  • Sparsity-based spread coprime linear-array angle estimation method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0050] In order to enable those skilled in the art to better understand the technical solutions of the present invention, the present invention will be further described in detail below in conjunction with specific embodiments.

[0051] The embodiment of the present invention provides a method for estimating the angle of an expanded coprime linear array based on sparsity. The array antenna structure used in this embodiment is composed of two uniform linear arrays with the number of array elements M and N respectively, and the distance between the array elements is Nλ / 2 and Mλ / 2, where M and N are a pair of co-prime numbers, λ is the carrier wavelength, the two sub-arrays are connected at the first place, and only one array element overlaps at the origin.

[0052] 1. Data model

[0053] Such as figure 1 Shown is an example of an expanded coprime linear array where M=3 and N=4, where the present invention can be used.

[0054] Assume K from θ k (k=1,2,…,K) uncorrelated narrow-...

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 a sparsity-based spread coprime linear-array angle estimation method, relates to the field of spatial spectrum estimation, and can be applied to the fields such as wireless communication, sonar and positioning. The sparsity-based spread coprime linear-array angle estimation method comprises the steps of carrying out vectorization processing on a covariance matrix of an array receipt signal, and obtaining a receipt signal of a virtual linear array; carrying out grid classification on an angle space to be measured, obtaining an overcomplete redundant dictionary of an angle, and converting a data model into a sparsity expression form; and on the basis, constructing a 1 norm convex optimization problem, and utilizing an orthogonal matching pursuit algorithm for obtaining direction of arrival estimation. According to the sparsity-based spread coprime linear-array angle estimation method provided by the invention, the advantage of high spatial freedom degree can be obtained by utilizing a spread coprime linear array, and meanwhile, a compressed sensing technology is used for fully utilizing all virtual arrays produced by the spread coprime linear array, so that the spatial freedom degree is improved, and meanwhile, high angle estimation precision is further realized.

Description

technical field [0001] The invention relates to the field of space spectrum estimation, in particular to a sparsity-based expansion coprime linear array angle estimation method. Background technique [0002] At present, an array antenna layout called a coprime array has been paid attention to. The coprime array breaks through the half-wavelength limitation of the element spacing of the traditional antenna array and has many excellent characteristics. Among them, the expanded structure of the expanded coprime line array further increases the distance between the array elements, and the mutual coupling effect between the array elements is effectively weakened; at the same time, using the virtualized angle estimation method for the expanded coprime line array can obtain a larger than actual The higher spatial freedom of the number of array elements greatly increases the number of detectable sources. However, since the virtual array elements produced by the virtualization of th...

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): G01S3/14
CPCG01S3/14
Inventor 汪云飞张小飞沈金清何益戴祥瑞
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