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

Microwave imaging method based on scenario block sparsity

A technology of sparse microwave imaging and block sparseness, which is applied in radio wave measurement system, radio wave reflection/re-radiation, utilization of re-radiation, etc., can solve problems such as high false alarm probability and low detection probability

Active Publication Date: 2013-06-12
INST OF ELECTRONICS CHINESE ACAD OF SCI
View PDF5 Cites 29 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0015] The purpose of the present invention is to disclose a sparse microwave imaging method based on scene block sparseness, which utilizes the block-sparse characteristics of sparse objects and block-sparse prior information for image reconstruction to overcome the high false alarms of existing sparse reconstruction algorithms. Disadvantages of Probability or Low Probability of Detection

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
  • Microwave imaging method based on scenario block sparsity
  • Microwave imaging method based on scenario block sparsity
  • Microwave imaging method based on scenario block sparsity

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0051] A sparse microwave imaging method based on block sparseness of the present invention, a sparse microwave imaging model established according to radar system parameters and platform geometry, includes: a sparse observation matrix, an imaging radar observation matrix, a sparse transformation matrix, and a sparse coefficient vector matrix.

[0052] y=Θ·H·x+n□Φ·x+n

[0053] in, Represents the discrete echo sampling data obtained by sparse microwave imaging radar observations on sparse scenes; A vector of backscatter coefficients representing a typical sparse discrete imaging scene (only a few elements in x are distinctly non-zero, the others are approximately zero.); is the sparse microwave imaging radar observation matrix, is a sparse sampling matrix, is the imaging mine observation matrix, Indicates the thermal noise of the system.

[0054] For the sparse variable composed of the backscatter coefficients of each resolution unit of the sparse scene in the above ...

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 microwave imaging method based on scenario block sparsity, and relates to a radar imaging technology. The method includes the steps of carrying out sparse observation over a block sparsity scenario in a compression sampling mode by utilizing a fact that the geometry size of a target in an actual imaging scenario is greater than the spatial resolution of high resolution microwave imaging radar and the imaging scenario usually covers multiple radar resolution units, and carrying out an efficient image reconstruction based on the block sparsity of the scenario. The method is different from an imaging method based on matched filtering; a sparse microwave imaging radar is based on sparse signal processing, recovers observed scarsity or transforms a domain sparsity scenario by that the method solves an optimization problem. Under the same sampling condition, the reconstruction of the sparse imaging scenario is more accurate than that of a conventional sparse microwave imaging, and sparser observation over the sparse scenario also can be achieved under the same reconfiguration performance conditions, so that the data rate of sampling is further reduced.

Description

technical field [0001] The invention relates to the technical field of radar imaging, in particular to a sparse microwave imaging method based on scene block sparseness, which is suitable for high-resolution sparse microwave imaging and provides technical support for high-precision reconstruction of sparse microwave imaging radar images. Background technique [0002] Synthetic Aperture Radar (SAR), as an active high-resolution microwave remote sensing device that can work all day and all day, has been widely used in military and civilian earth observation and other related fields, such as earth resources Environmental survey and high-precision surveying and mapping, natural disaster monitoring and emergency response, wide-range marine resources and sea surface ship surveillance, reconnaissance and early warning, etc. With the rapid development of semiconductor devices and the continuous development of microwave imaging theory and methods, it has become technically possible f...

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): G01S13/89
Inventor 张杰张冰尘洪文吴一戎
Owner INST OF ELECTRONICS CHINESE ACAD OF SCI
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