Dark room broadband RCD measurement method based on compression sensing

A measurement method and compressed sensing technology, applied in the field of measurement, can solve the problems of heavy calculation burden, less measurement data, and more measurement data, so as to improve reconstruction time and reconstruction efficiency, reduce large storage requirements, and improve imaging resolution Effect

Active Publication Date: 2017-06-20
BEIJING INST OF ENVIRONMENTAL FEATURES
View PDF2 Cites 7 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

A single algorithm often has both advantages and disadvantages. For example, the greedy algorithm runs fast, but requires a lot of measurement data and ...

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
  • Dark room broadband RCD measurement method based on compression sensing
  • Dark room broadband RCD measurement method based on compression sensing
  • Dark room broadband RCD measurement method based on compression sensing

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0045] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be described in further detail below with reference to the accompanying drawings and preferred embodiments. However, it should be noted that many of the details listed in the specification are only for readers to have a thorough understanding of one or more aspects of the present invention, and these aspects of the present invention can be implemented even without these specific details.

[0046] The method of darkroom RCS measurement makes the data itself easy to contain a lot of redundant information. Under the condition of dense frequency point and dense angle measurement, the correlation between the data is very strong. If the linearly independent quantity between these data can be found (corresponding to The sparse representation base or sparse dictionary in CS theory) can achieve the purpose of reducing the measurement.

[0047] A darkroom br...

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 dark room broadband RCD measurement method based on compression sensing. The method comprises steps of (1) designing a sparse measurement matrix, and configuring compression sampling testing parameters; (2) placing a scaling body and a measurement object on a rotary table in sequence, and completing echo data sampling of the measurement object, wherein the rotary table rotates at the uniform speed in the sampling process; (3) completing scaling processing to the measurement object according to the obtained sampling data; (4) subjecting object data after scaling to sparseness by the sparse measurement matrix; and (5) using a two-dimensional data reconstruction algorithm to perform data reconstruction of other angles and other frequencies. The method utilizes the coupling of the two-dimensional signal, and improves the imaging resolution under a precondition of the same data size.

Description

technical field [0001] The invention relates to the measurement field, in particular to a darkroom broadband RCS measurement method based on compressed sensing. Background technique [0002] In the traditional broadband RCS measurement method, in order to make the target expansion unambiguous in the range and azimuth directions, the measurement frequency interval and angle step size must be limited by the Nyquist sampling theorem. Information acquisition, storage, transmission and processing under the constraints of this theory have been It has become one of the main bottlenecks in the further development of the current information processing field. Different from Nyquist sampling, Compressed Sensing (CS) does not directly measure the signal itself, but uses the construction observation matrix Φ to project a sparse or compressible high-dimensional signal onto the low-dimensional space, and the measured value is the signal from the high-dimensional space Projected values ​​i...

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): G01S7/40G01S7/41
CPCG01S7/40G01S7/41
Inventor 陈文强闫华王玉伟高超
Owner BEIJING INST OF ENVIRONMENTAL FEATURES
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