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

Robust design method based on deep learning direction finding

A deep learning and design method technology, applied in the field of robust design based on deep learning direction finding, can solve problems such as poor robustness

Active Publication Date: 2022-08-09
NAT UNIV OF DEFENSE TECH
View PDF7 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] The purpose of the present invention is to solve the problem of poor robustness in the existing phase interference measurement, and propose a robust design method based on deep learning direction finding

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 design method based on deep learning direction finding
  • Robust design method based on deep learning direction finding
  • Robust design method based on deep learning direction finding

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0036] The technical solutions of the present invention will be clearly and completely described below with reference to the embodiments. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0037] see Figure 1-2 As shown, the robust design method based on deep learning direction finding includes the following steps:

[0038] Step 1: digital sampling, AD sampling is performed on the signals of each channel to obtain digital sampling signals;

[0039] The signal of each channel is subjected to low-noise amplification and down-conversion processing, and then A / D sampling is performed on the intermediate frequency signal to obtain the digital sampling signal of each channel;

[0040] Step 2: ...

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 robust design method based on deep learning direction finding, which is used to solve the problem of poor robustness in the existing phase interference measurement, including robust model design: selecting a convolutional neural network, and designing a Robust deep learning direction finding model; the present invention performs AD sampling on the signal of each channel, performs low-noise amplification and down-conversion processing on the signal of each channel, and then performs A / D sampling on the intermediate frequency signal to obtain the digital signal of each channel. Sampling signal; extract the characteristic data of the sampling signal of each channel, use convolutional neural network, design a robust deep learning direction finding model, which is adaptive to the amplitude and phase error of the channel, without channel correction; , signal bandwidth and other parameters are adaptive, and when these parameters change within a certain range, the direction finding accuracy will not deteriorate by more than 5%.

Description

technical field [0001] The invention relates to the field of electronic reconnaissance, in particular to a direction finding method for radiation source signals, specifically a robust design method based on deep learning direction finding. Background technique [0002] The direction finding of the radiation source signal is to determine the direction of the radiation source target. Usually, the electronic reconnaissance equipment receives the radiation source signal and processes the signal to estimate the arrival direction of the radiation source signal. [0003] At present, the direction finding methods for radiation source signals mainly include amplitude method direction finding, phase method direction finding, and spatial spectrum estimation direction finding. Due to the low accuracy of direction finding by the amplitude method and the large amount of computation in the direction finding of spatial spectrum estimation, it is difficult to meet the real-time processing re...

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): G01S3/00G06N3/04G06N3/08
CPCG01S3/00G06N3/08G06N3/045Y02T10/40
Inventor 王杰贵刘方正吴世龙孔辉唐希雯马晓静韩振中武东明陈中
Owner NAT UNIV OF DEFENSE 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

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com