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

Mobile sensor array AOA detection sum-difference algorithm

A technology of mobile sensors and arrays, applied in instruments, radio wave measurement systems, etc., can solve problems such as low estimation accuracy and inability to accurately estimate AOA

Inactive Publication Date: 2015-08-12
NORTHWEST UNIV(CN)
View PDF5 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] As one of the better methods, because ESPRIT has specific requirements for the array structure, and the estimation accuracy is not high under low signal-to-noise ratio
, resulting in the inability to accurately estimate the AOA

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
  • Mobile sensor array AOA detection sum-difference algorithm
  • Mobile sensor array AOA detection sum-difference algorithm
  • Mobile sensor array AOA detection sum-difference algorithm

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0049] The present invention provides a sum-difference algorithm for AOA detection of a mobile sensor array. The sum-difference algorithm for AOA detection of a mobile sensor array includes:

[0050] Step 1, deploy the signal receiving array.

[0051] Step 2, signal reception is performed through the signal receiving array at a preset time, and the received signal is x 1 、x 2 ,...,x k , where k are different receiving moments.

[0052] Step 3, according to the received signal, determine the received data and x at the first K moments ΣK , the first (n-1) K moments receive data and x Σ(n-1)K , correct the data received at the first (n-1) K times and correct them, and obtain the corrected data and x at the first (n-1) K times after correction Σ(n-1)K '.

[0053] Step 4: Obtain the received data at the nKth moment, and then obtain the corrected correction data at the nKth moment, and combine the correction data at the first K moments with x ΣK ’ to get the corrected sample ...

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 mobile sensor array AOA detection sum-difference algorithm, and belongs to the technical field of radar. The mobile sensor array AOA detection sum-difference algorithm comprises steps of arranging a signal receiving array, moving the signal receiving array, receiving signals at different moments during the moving process, forming two matrixes according to different receiving time, merging the two matrixes, furthermore obtaining a rotation invariant matrix through eigenvalue decomposition, inversely solving the rotation invariant matrix, and obtaining the azimuth angle and the pitch angle of a signal source relative to the signal receiving array. Compared with the prior art, the mobile sensor array AOA detection sum-difference algorithm is advantaged in that received data information can be fully used, the estimation precision of the angle of the signal source is improved, and the problem that the requirement of a conventional ESPRIT method on the array structure is restricted, and the precision of the conventional ESPRIT method under a low signal to noise ratio is low can be overcome.

Description

technical field [0001] The invention belongs to the radio field, in particular to a sum-difference algorithm for AOA detection of a mobile sensor array. Background technique [0002] In the field of radar, determining AOA (Angle of Arrival, direction of arrival) has always been an important subject of research. [0003] In the existing technology, the commonly used methods are maximum likelihood and MUSIC (Multiple Signal Classification, multiple signal classification) and ESPRIT (Estimating Signal Parameters via Rotational Invariance Techniques, estimating signal parameters with the help of rotation invariant technique) methods, where ESPRIT calculates With the method of closed-form solution, two important parameters of azimuth and elevation angle of the source can be obtained, so as to complete the estimation of AOA, without searching for spectral peaks like the maximum likelihood and MUSIC methods, which can significantly reduce The amount of calculation and storage of r...

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): G01S7/02
CPCG01S7/021
Inventor 聂卫科徐楷杰解虎李进冯大政
Owner NORTHWEST UNIV(CN)
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