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

Steady adaptive waveform beam formation algorithm under pulse and Gaussian noise

An adaptive beam and Gaussian noise technology, applied in the field of array antennas, to suppress co-channel interference, improve co-channel interference, and improve real-time performance

Active Publication Date: 2018-08-17
DALIAN UNIV OF TECH
View PDF8 Cites 4 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Aiming at the impact of factors such as pulse noise, cyclic frequency error and co-channel interference on beamforming performance in the existing cyclic beamforming technology, the present invention proposes a robust adaptive beamforming algorithm under pulse and Gaussian 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
  • Steady adaptive waveform beam formation algorithm under pulse and Gaussian noise
  • Steady adaptive waveform beam formation algorithm under pulse and Gaussian noise
  • Steady adaptive waveform beam formation algorithm under pulse and Gaussian noise

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0023] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention more clear, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention.

[0024] At first, the input information of the present invention and the ultimate goal of the present invention are given:

[0025] Suppose an estimated cycle frequency with error is The desired signal and K interference sources are incident on the uniform linear array of M array elements, and an array signal x(n) with a finite number of snapshots of N is obtained. The purpose of the present invention is to estimate the steering vector and extract the estimated value y(n)=w of the desired signal H x(n), from the estimated value to get robust beamforming.

[0026] A robust adaptive beamforming algorithm under impulse and Gaussian noise, the flow chart of the ...

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 technical field of array antennas, and provides a steady adaptive waveform beam formation algorithm under pulse and Gaussian noise. The invention puts forward the steady adaptive waveform beam formation algorithm under two noises including Gaussian and pulse and a complex environment of same-frequency interference by considering the practical situation of a circulationfrequency error. The method comprises the following steps that: under a situation that a known expectation signal has a circulation error frequency of error estimation, calculating the output signaland the reference signal of each sampling point; on the basis of a maximum related entropy criterion, estimating a guiding vector; and utilizing the related function of the related entropy of the output signal to estimate the accurate circulation frequency of the expectation signal so as to realize steady wave beam formation. By use of the algorithm, the circulation related entropy theory is applied to a wave beam formation research, and the maximum related entropy criterion is used for constructing a solving formula of the guiding vector and the circulation frequency. The specific algorithm is put forward according to practical requirements and has the characteristics of high anti-noise performance, low calculation complexity, small required snapshot number, high waveform formation robustness and the like.

Description

technical field [0001] The invention belongs to the technical field of array antennas, and relates to a robust adaptive beamforming method for a cyclostationary signal under a uniform line array, in particular to a robust adaptive beamforming method for a cyclostationary signal under the condition of a cyclic frequency error in an impulse and Gaussian complex noise environment Beamforming method. Background technique [0002] Beamforming is an important issue in the field of array signal processing, and has extremely wide and important applications in various fields such as radar, sonar, communication, medical diagnosis, seismic exploration, and radio astronomy. The traditional adaptive beamforming method needs to know the direction of the desired signal and the interference source in advance, and its performance is greatly affected by the accuracy of the direction of the signal source. However, in many practical applications, the true direction of arrival of the signal is ...

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): G06F17/50H04B7/06H04B7/08
CPCG06F30/20H04B7/0617H04B7/086
Inventor 邱天爽金芳晓李景春李蓉唱亮
Owner DALIAN UNIV OF TECH
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