Blind source separation main lobe interference resisting method and device based on improved artificial bee colony

An artificial bee colony and blind source separation technology, applied in the field of signal processing, can solve the problems of radar detection performance interference, poor main lobe interference effect, etc.

Pending Publication Date: 2021-08-20
AIR FORCE UNIV PLA
View PDF0 Cites 3 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] At present, the main lobe anti-interference method is the sum-difference beam main-lobe cancellation method. The sum-difference beam is formed at the receiving end to realize the dimensionality reduction processing of the received signal, and then the interference suppression is performed on the dimension-reduced signal. However, in practice In use, more interference enters from the main lobe, causing serious interference to the detection performance of the radar, and the existing methods are less effective in dealing with main lobe interference

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
  • Blind source separation main lobe interference resisting method and device based on improved artificial bee colony
  • Blind source separation main lobe interference resisting method and device based on improved artificial bee colony
  • Blind source separation main lobe interference resisting method and device based on improved artificial bee colony

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0062] Please see figure 1 , figure 1 A schematic flowchart of a blind source separation anti-mainlobe interference method based on an improved artificial bee colony is provided for the embodiment of the present application. Among them, the blind source separation anti-mainlobe interference method based on the improved artificial bee colony includes:

[0063] S101. Receive a mixed signal to be processed.

[0064] In the embodiment of the present application, the mixed signal to be processed is a signal that requires anti-mainlobe interference processing. Specifically, the mixed signal to be processed is a signal received by the array radar antenna.

[0065] S102. Perform decentralized preprocessing on the mixed signal to be processed to obtain a preprocessed signal.

[0066] S103. Determine a separation matrix corresponding to the preprocessed signal according to a preset artificial bee colony optimization algorithm, a preset blind source separation algorithm, and a preset...

Embodiment 2

[0083] Please see figure 2 , figure 2 It is a schematic flowchart of a blind source separation anti-mainlobe interference method based on an improved artificial bee colony provided by the embodiment of the present application. like figure 2 As shown, wherein, the blind source separation anti-mainlobe interference method based on the improved artificial bee colony includes:

[0084] S201. Receive a mixed signal to be processed.

[0085] S202. Perform decentralized preprocessing on the mixed signal to be processed to obtain a preprocessed signal.

[0086] S203. Initialize the preset artificial bee colony to obtain the target artificial bee colony.

[0087] In the embodiment of the present application, the artificial bee colony includes 3 types of bees, namely employed bees, follower bees and scout bees. The goal of the whole bee colony is to find the nectar source with the largest amount of nectar. The hired bees use the previous nectar source information to find new nec...

Embodiment 3

[0149] Please see image 3 , image 3 A schematic structural diagram of a blind source separation anti-mainlobe interference device based on an improved artificial bee colony provided by the embodiment of the present application. like image 3 As shown, the blind source separation anti-mainlobe interference device based on the improved artificial bee colony includes:

[0150] a signal receiving unit 310, configured to receive the mixed signal to be processed;

[0151] A preprocessing unit 320, configured to perform decentralized preprocessing on the mixed signal to be processed to obtain a preprocessed signal;

[0152] The determining unit 330 is configured to determine a separation matrix corresponding to the preprocessed signal according to a preset artificial bee colony optimization algorithm, a preset blind source separation algorithm, and a preset cost function;

[0153] The calculation unit 340 is configured to calculate the target signal against main lobe interferen...

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 blind source separation main lobe interference resisting method and device based on an improved artificial bee colony, and relates to the technical field of signal processing, and the blind source separation main lobe interference resisting method based on the improved artificial bee colony comprises the steps: firstly receiving a to-be-processed mixed signal; carrying out decentration preprocessing on the to-be-processed mixed signal to obtain a preprocessed signal; further, determining a separation matrix corresponding to the preprocessed signal according to a preset artificial bee colony optimization algorithm, a preset blind source separation algorithm and a preset cost function; and finally, according to a blind source separation algorithm, the separation matrix and the preprocessed signal, calculating a main lobe interference resistant target signal, so that the main lobe interference resistant processing of the signal can be realized, the iteration speed is high, and the main lobe interference resistant effect is good.

Description

technical field [0001] The present application relates to the technical field of signal processing, in particular, to a blind source separation anti-mainlobe interference method and device based on an improved artificial bee colony. Background technique [0002] At present, the main lobe anti-interference method is the sum-difference beam main-lobe cancellation method, and the sum-difference beam is formed at the receiving end to realize the dimension reduction processing of the received signal, and then the interference suppression is performed on the reduced signal. However, in practice In use, more interference enters from the main lobe, causing serious interference to the detection performance of the radar, and the existing methods are less effective in dealing with main lobe interference. Contents of the invention [0003] The purpose of the embodiment of the present application is to provide a blind source separation anti-mainlobe interference method and device based...

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): G06N3/00G06F17/16
CPCG06F17/16G06N3/006
Inventor 潘鑫锐宫健王春阳陈赓
Owner AIR FORCE UNIV PLA
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