Check patentability & draft patents in minutes with Patsnap Eureka AI!

A Robust Reconstruction Method of Disturbance Covariance Matrix

A technology of covariance matrix and interference covariance, which is applied in the field of robustness of Capon adaptive beamforming, can solve the problems of reduced calculation, complex integral operation, and reduced algorithm performance, and achieve the effect of improving robustness

Inactive Publication Date: 2017-03-29
UNIV OF ELECTRONICS SCI & TECH OF CHINA
View PDF4 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, in the interval Θ 2 Integral calculation is very complicated, in order to effectively reduce the amount of calculation, the interval Θ 2 Perform interval discretization into an angle set containing L elements The requirement for interval discretization is to include the direction of arrival of each interference signal, that is, Use discrete intervals Sums instead of intervals Θ 2 Integral to obtain the reconstruction of the interference noise covariance matrix
[0005] However, the INCMR algorithm has its inherent shortcomings, its discrete interval Must include all interfering signal incoming wave signal direction angles which is The summation term in must include all interfering signal terms This requires accurate knowledge of the steering vectors a(θ d ), d=2,...,D, otherwise the algorithm performance will be greatly reduced; but in practical applications, the steering vector of the interference signal is unknown, and it needs to be estimated by a method similar to the estimation of the desired signal steering vector

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
  • A Robust Reconstruction Method of Disturbance Covariance Matrix
  • A Robust Reconstruction Method of Disturbance Covariance Matrix
  • A Robust Reconstruction Method of Disturbance Covariance Matrix

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0063] The present invention aims at the interference noise covariance matrix robust reconstruction algorithm output signal interference noise ratio SINR change simulation with expected signal input signal noise ratio SNR for interference signal steering vector error:

[0064] Example 1, a uniform linear array composed of 10 array elements receives narrow-band signals emitted by 3 far-field sources, and the preset direction of arrival of the desired signal is θ 1 =-10 0 , and its steering vector estimation error is is a zero-mean, variance ξ 1 I M The complex symmetric Gaussian random variable of , the corresponding upper limit of the error norm constraint is ε 1 , that is, the steering vector estimation error needs to satisfy The preset directions of arrival of the two interference signals are θ 2 =20 0 ,θ 3 =-30 0 , then its steering vector estimation error is is a zero-mean, variance ξ d I M The complex symmetric Gaussian random variable of , the corresponding...

Embodiment 2

[0072] The invention aims at the interference noise covariance matrix robust reconstruction algorithm of the interference signal steering vector error and the simulation of the change of the SINR with the number of snapshots received by the array:

[0073] Example 2, a uniform linear array composed of 10 array elements receives narrow-band signals emitted by 3 far-field sources, and the preset direction of arrival of the desired signal is θ 1 =-10 0 , and its steering vector estimation error is is a zero-mean, variance ξ 1 I M The complex symmetric Gaussian random variable of , the corresponding upper limit of the error norm constraint is ε 1 , that is, the steering vector estimation error needs to satisfy The preset directions of arrival of the two interference signals are θ 2 =20 0 ,θ 3 =-30 0 , then its steering vector estimation error is is a zero-mean, variance ξ d I M The complex symmetric Gaussian random variable of , the corresponding upper limit of the e...

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 belongs to the field of array signal processing, and mainly relates to the robustness of an interference noise covariance matrix reconstruction algorithm and the robustness of the optimal Capon adaptive beamforming based on the worst performance of the algorithm. The present invention first uses the worst performance optimization criterion to establish the error model of the desired signal and the interference signal steering vector, and then uses Robust Capon Beamforming (Robust Capon Beamforming, RCB) to estimate the power and steering of D-1 interference signals respectively. At the same time, EVD is performed on the sample covariance matrix to estimate the array received Gaussian white noise power, and thus the interference noise covariance matrix reconstruction considering the interference signal steering vector error can be effectively aimed at the inherent nature of the summation interference noise covariance matrix reconstruction Insufficient, effectively improve the robustness of the beamforming algorithm.

Description

technical field [0001] The invention belongs to the field of array signal processing, and mainly relates to the robustness of an interference noise covariance matrix reconstruction algorithm and the robustness of the optimal Capon adaptive beamforming based on the worst performance of the algorithm. Background technique [0002] The Capon adaptive beamforming algorithm can minimize the output power of the array and maximize the output Signal-to-Interference-plus-Noise Ratio (SINR) while ensuring the undistorted output of the desired signal. It improves the array gain, has better azimuth resolution and stronger interference suppression ability. However, Capon beamforming is based on the assumption that both the desired signal steering vector and the interference noise covariance matrix are known accurately, and it is sensitive to the errors of the desired signal steering vector and the interference noise covariance matrix, and in practical applications , the interference noi...

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 Patents(China)
IPC IPC(8): G01S7/36
CPCG01S7/36
Inventor 袁晓垒甘露杜继萍廖红舒张花国
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
Features
  • R&D
  • Intellectual Property
  • Life Sciences
  • Materials
  • Tech Scout
Why Patsnap Eureka
  • Unparalleled Data Quality
  • Higher Quality Content
  • 60% Fewer Hallucinations
Social media
Patsnap Eureka Blog
Learn More

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

© 2025 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com