Robust beam forming method based on steering vector and space power estimation

A steering vector and space technology, applied in the field of signal processing, can solve the problems of the decrease of the output signal-to-noise ratio of the receiving end, affecting the overall performance of the system, and the deviation of weight design weights, so as to achieve accurate signal steering vector estimation and achieve accurate estimation. Effect

Active Publication Date: 2019-03-08
UNIV OF ELECTRONICS SCI & TECH OF CHINA
View PDF9 Cites 12 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This method can obtain accurate signal steering vector estimation in high SNR scenarios, but there will be obvious performance degradation when low SNR and strong interference appear in the signal integration interval, and its robustness to the above scenarios is poor
[0006] Although the above estimation methods can estimate the signal-steering vector more accurately to a certain extent, there are unavoidable limitations in applicat

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
  • Robust beam forming method based on steering vector and space power estimation
  • Robust beam forming method based on steering vector and space power estimation
  • Robust beam forming method based on steering vector and space power estimation

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0088] The present invention simulates the change of the signal-to-interference and noise ratio of the beam output signal-to-noise ratio with the expected signal-to-noise ratio of the signal steering vector estimation algorithm with errors in the signal and interference direction of arrival:

[0089] A uniform linear array composed of 10 omnidirectional array elements receives narrowband signals emitted by 3 far-field sources, estimated signals and interference directions The relationship with the true arrival direction θ is Among them, Δθ is a uniform distribution in the interval [-8°, 8°]. When strong interference occurs in the main lobe of the beam, it is assumed that the estimated direction of arrival of the signal is The estimated arrival azimuths of the two interferences are The corresponding interference-to-noise ratio is 30dB. For the desired signal, set ρ=0.9 and the input signal-to-noise ratio change range is -10 to 30dB. The number of snapshots of the array is 30, ...

Embodiment 2

[0097] A uniform linear array composed of 10 omnidirectional array elements receives narrowband signals emitted by 3 far-field sources, estimated signals and interference directions The relationship with the true arrival direction θ is Among them, Δθ is a uniform distribution in the interval [-8°, 8°]. When strong interference occurs in the main lobe of the beam, it is assumed that the estimated direction of arrival of the signal is The estimated arrival azimuths of the two interferences are The corresponding interference-to-noise ratio is 30dB. For the desired signal, set ρ=0.9 and the input signal-to-noise ratio is 20dB. The number of snapshots of the array varies from 10 to 100, and 200 Monte Carlo experiments are performed. In each Monte Carlo experiment, the error of the signal and interference direction of arrival obeys the above-mentioned uniform distribution.

[0098] details as follows:

[0099] ① Perform discrete sampling in the angle interval where the signal is loc...

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 provides a robust beam forming method based on a steering vector and space power estimation, so as to improve the robustness of random errors on an incoming wave direction and to realizeaccurate signal steering vector estimation under the condition of interference in a main lobe of a beam. The invention provides a signal plus interference covariance matrix reconstruction algorithm,which introduces a correlation coefficient to serve as a signal subspace selection criterion, reconstructs a sampling covariance matrix signal plus interference subspace, and performs alternate projection in combination with a covariance matrix containing a signal subspace and obtained by signal angle interval discrete sampling, so as to perform the accurate signal steering vector estimation and to design a robust adaptive beam former under the condition of interference in the main lobe of the beam.

Description

Technical field [0001] The present invention belongs to the technical field of signal processing, and relates to a steering vector estimation method based on signal plus interference covariance matrix reconstruction and alternate projection, which is robust to random errors in the direction of arrival, and achieves accuracy when interference occurs in the main lobe of the beam Signal steering vector estimation. Background technique [0002] Robust adaptive beamforming technology has been widely used in mobile communications, navigation, remote control telemetry, radar, sonar and other fields, and has gradually covered all aspects of national defense and people's daily life. However, in actual scenarios, the specific position of the target signal is usually unknown, which will lead to deviations in the signal steering vector estimation and seriously affect the overall performance of the array. Therefore, researchers have proposed a variety of signal processing techniques to allevi...

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): H04B7/0408H04B7/06H04B17/336
CPCH04B7/0408H04B7/0617H04B17/336
Inventor 艾晓宇马俊虎安建成甘露廖红舒
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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