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

A Radar Antenna Sidelobe Recognition Algorithm Based on Signal Amplitude and Phase Characteristics

A recognition algorithm and radar antenna technology, applied in character and pattern recognition, computing, computer components, etc., can solve problems such as sidelobe recognition, and achieve simple engineering applications, high recognition accuracy, and good real-time performance

Inactive Publication Date: 2017-10-31
中国人民解放军63801部队
View PDF8 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0008] According to the different amplitude and phase characteristics of the sum and difference signals received by the radar in the main lobe and side lobe of the radar antenna, the invention adopts the support vector machine classification method to identify the main lobe and the side lobe, and solves the problem of identifying the side lobe in radar measurement

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 Radar Antenna Sidelobe Recognition Algorithm Based on Signal Amplitude and Phase Characteristics
  • A Radar Antenna Sidelobe Recognition Algorithm Based on Signal Amplitude and Phase Characteristics
  • A Radar Antenna Sidelobe Recognition Algorithm Based on Signal Amplitude and Phase Characteristics

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0023] According to the algorithm steps 1) to 4) of the present invention are implemented in sequence.

[0024] Algorithm step 3) of the present invention adopts support vector machine to carry out classification training to the feature vector after normalization, wherein the acquisition mode of training sample is preferably to collect experimental sample according to the ballistic guidance method of spiral curve, adopts this sample selection mode to guarantee training sample The comprehensiveness, diversity and correctness of training sample classification, among them, the support vector machine is preferably SVMPerf classification tool, which has high training efficiency.

[0025] The constraint relationship between the values ​​of the main lobe confidence threshold α and the side lobe confidence threshold β in the algorithm step 4) of the present invention is α≥β, -2≤α≤2, -2≤β≤2. When the confidence threshold α of the main lobe is -0.13 and the confidence threshold β 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 proposes a radar antenna sidelobe recognition algorithm based on the amplitude and phase characteristics of the received signal. According to the different amplitude and phase characteristics of the radar sum difference signal in the main lobe and side lobe of the radar antenna, the sum difference signal is classified by the support vector machine classification method. Classify, identify the main lobe and side lobe, and solve the problem of side lobe identification in radar measurement.

Description

technical field [0001] The invention is used for the research on the identification problem of antenna sidelobe in radar measurement. Background technique [0002] During radar measurement, the lobe in the direction of the maximum radiation of the transmission power is the main lobe, and the rest are side lobes or side lobes. When the main lobe of the antenna receives the signal, the signal gain is the largest, the signal-to-noise ratio is the highest, and the working distance is the farthest. The acquisition and tracking of the target by the antenna is accomplished by using the main lobe. However, since the sidelobe of the antenna also has several convergent tracking points, when the electrical axis of the antenna is not aligned with the target and the signal is strong, the sidelobe may also capture the target, form tracking, and cause false images. Since the gain of the first sidelobe is relatively high and it is close to the main lobe, when the tracking target is close,...

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): G01S7/41G06K9/62
Inventor 马里富左万里郑东波施海荣王奕波赵伟商晓燕陈张陈骁何春明李振
Owner 中国人民解放军63801部队
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