Regularization-Based Offset Phase Center Antenna Imaging Method

A technology of offset phase center and imaging method, which is applied in the direction of measuring device, radio wave measurement system, radio wave reflection/reradiation, etc., can solve the problems of calculation amount and memory loss that the data processor is unbearable, and achieve the occupation of The effect of less resources, short time, and strong robustness

Active Publication Date: 2018-11-23
INST OF ELECTRONICS CHINESE ACAD OF SCI
View PDF3 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, when the spatial dimension of the observation scene to be reconstructed is large, the huge amount of calculation and memory loss caused by the matrix-vector multiplication operation including the observation matrix will make the existing data processor unbearable, thus limiting the ability of compressed sensing based The practical application of the offset phase center antenna imaging method in the field of high-performance synthetic aperture radar imaging

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
  • Regularization-Based Offset Phase Center Antenna Imaging Method
  • Regularization-Based Offset Phase Center Antenna Imaging Method
  • Regularization-Based Offset Phase Center Antenna Imaging Method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0017] As a cutting-edge topic in the field of signal and information processing research in recent years, sparse signal processing has attracted widespread attention from scholars and experts in related fields in mathematics and engineering. In sparse signal processing theory, l q Regularization (0q The iterative threshold algorithm derived from the regularization model usually has fast convergence speed, strong resistance to additive noise interference and concise implementation, so this kind of algorithm has been widely used in engineering fields related to sparse signal processing. . In the application of synthetic aperture radar imaging, existing research results show that based on l q The regularized iterative threshold algorithm can effectively suppress side lobes and clutter interference in radar images, and can remove range / azimuth ambiguity caused by spectral aliasing.

[0018] To this end, we based on l q Regularization theory, according to the algorithm framewor...

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 provides a displaced phase center antenna imaging method based on lq regularization, the method constructs characteristic matrix and reconstruction matrix of a displaced phase center antenna imaging radar, according to the imaging requirement, a lq regularization model and a threshold function corresponding to the model are selected; based on the echo data of the imaging radar and the characteristic matrix and the reconstruction matrix thereof, a DPCA data processing operator is obtained; the operator is leaded in the iteration threshold operation process, and a backscattering coefficient matrix of the observed scene is calculated. According to the invention, the displaced phase center echo data acquired by non-uniformly sampling is adopted to realize unambiguous radar imaging to the observed scene; high resolution imaging work of the large spatial scale observed scene is finished, compared with the sparse microwave imaging algorithm realized by matrix-vector multiplication, the method provided by the invention costs shorter time and uses less resource; the clutter interference caused by non-uniform azimuth sampling can be effectively restrained, and the additive noise in the echo data has strong robustness.

Description

technical field [0001] The present invention relates to the technical field of sparse microwave imaging, in particular to a q Regularized Bias Phase Centered Antenna Imaging Method. Background technique [0002] With the development of synthetic aperture radar technology, the practical application of microwave remote sensing in engineering has higher and higher requirements on the performance of modern imaging radar systems. As an effective method to achieve high resolution and wide swath microwave imaging, the Displaced Phase Center Antenna (DPCA) technology has been widely used in the field of high-performance synthetic aperture radar imaging. In order to obtain the optimal imaging performance, the offset phase center antenna imaging radar system usually needs to satisfy the uniform sampling condition that meets the requirements of Nyquist sampling theorem in the azimuth direction. , it moves a distance equal to half of the total length of the antenna along the track. H...

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): G01S13/90
CPCG01S13/904G01S13/9041
Inventor 吴一戎全相印张冰尘张柘
Owner INST OF ELECTRONICS CHINESE ACAD OF SCI
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