Metrewave radar self-adaption frequency selection method based on spatial filtering

A meter wave radar and frequency selection technology, applied in the field of radar, can solve the problems of narrow absolute bandwidth, wide relative bandwidth, and low frequency band of meter wave radar

Active Publication Date: 2013-04-10
CNGC INST NO 206 OF CHINA ARMS IND GRP
View PDF3 Cites 14 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0008] In order to avoid the deficiencies of the prior art, the present invention proposes a method for adaptive frequency selection of meter wave radar based on airspace filtering, aiming at the characteristics o

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
  • Metrewave radar self-adaption frequency selection method based on spatial filtering
  • Metrewave radar self-adaption frequency selection method based on spatial filtering
  • Metrewave radar self-adaption frequency selection method based on spatial filtering

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0039] Now in conjunction with embodiment, accompanying drawing, the present invention will be further described:

[0040] During the radar rest period, F s The sampling rate collects data, and divides the receiving bandwidth into N segments through a digital filter bank; performs digital beamforming processing on each digital filter output to ensure that the formed P beams cover the entire airspace; after digital beamforming The output is processed by FFT of K point, and the frequency with the smallest interference noise amplitude is selected through spectrum comparison; finally, the optimal working frequency library is established according to the orientation of the formed beam. System block diagram as figure 2 shown, with x m (l) (l=0,1,2,…) indicates the data collected after the mth (m=1,2,…,M) antenna channel passes through the low-noise amplifier.

[0041] refer to figure 1 , which is a flowchart of the implementation of the present invention. Its specific implementa...

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 relates to a metrewave radar self-adaption frequency selection method based on spatial filtering. The metrewave radar self-adaption frequency selection method based on the spatial filtering carries out frequency subsection, digital beam formation and time domain fast fourier transform (FFT) algorithm process on metrewave radar according to the character that a metrewave radar similarly has a low-frequency stage, finally creates an optimum working frequency base through frequency spectrum comparison, and selects working frequency according to different requirements of users. The metrewave radar self-adaption frequency selection method based on the spatial filtering adopts a process procedure which is not preset with an optimum working frequency band, carries out demodulator band filter (DBF) spatial filtering process on data of all frequency bands, meanwhile takes the character that resonance scattering of a conventional target occurs in a metrewave frequency band into consideration, about criterions, selection of working frequency is carried out by creating the optimum working frequency base and combining the optimum working frequency base and a resonant frequency data base instead of using a criterion that output average power is minimum, and therefore the best detection performance of the metrewave radar is ensured. The metrewave radar self-adaption frequency selection method based on the spatial filtering is applicable to self-adaption and resisting external disturbance of the metrewave radar under complex electromagnetic environment.

Description

technical field [0001] The invention belongs to the technical field of radar, and in particular relates to an adaptive frequency selection method for meter wave radar based on airspace filtering. Background technique [0002] In radar countermeasures, frequency domain countermeasures are an important aspect. As far as radar is concerned, in addition to expanding the frequency domain and occupying new frequency bands, frequency agility technology is often used. According to the distribution of frequency points, the frequency conversion methods of radar can be divided into random frequency conversion, regular frequency conversion (coding, etc.) and adaptive Three kinds of frequency conversion. [0003] Due to the randomness of frequency conversion, the random frequency conversion method can effectively counteract narrowband targeted interference, but it is difficult to realize a completely random frequency conversion system. Regular frequency conversion is easier to implemen...

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
IPC IPC(8): G01S7/36
Inventor 游俊强勇黄金杰黄志忠罗丁利
Owner CNGC INST NO 206 OF CHINA ARMS IND GRP
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