Through-Wall Radar Imaging Method Based on Weighted Phase Statistical Parameters

A phase statistical parameter, through-wall radar technology, applied in radio wave measurement systems, radio wave reflection/re-radiation, utilization of re-radiation, etc. The algorithm is easy, the false target is suppressed, and the resolution is improved

Inactive Publication Date: 2014-10-08
NAT UNIV OF DEFENSE TECH
View PDF2 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Usually, the echo of through-wall radar is very weak and the signal-to-noise ratio is low. The echo is processed first, and then the processed echo is used for imaging. At present, no method to realize through-wall radar imaging based on this idea has been found.

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
  • Through-Wall Radar Imaging Method Based on Weighted Phase Statistical Parameters
  • Through-Wall Radar Imaging Method Based on Weighted Phase Statistical Parameters
  • Through-Wall Radar Imaging Method Based on Weighted Phase Statistical Parameters

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0017] The present invention will be described in detail below in conjunction with the accompanying drawings.

[0018] Assume that the number of transmitting and receiving array elements of the through-wall radar is M, and the number of transmitting signal steps is K. E k,m (x, y) means; the frequency corresponding to the kth step is f k Indicates that 1≤k≤K; the slant distance from the phase center of the mth array element to the point target at the pixel point (x, y) is r m (x,y), 1≤m≤M.

[0019] figure 1 It is a flowchart of the present invention, and the specific implementation steps are as follows:

[0020] In the first step, the phase compensation based on the free space propagation history is performed on the step-frequency waveform echo data received by the through-wall radar array antenna, and the compensated echo data of the imaging target area is obtained.

[0021] Phase compensation is performed on the received echo data of each frequency point and each array ...

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 through-wall radar imaging method based on phase statistical parameter weighting. According to the technical scheme, the through-wall radar imaging method based on phase statistical parameter weighting comprises the steps that step one, phase compensation is conducted on echo data, so that the echo data in an imaging object region after compensation are obtained; step two, a phase statistical parameter corresponding to each pixel point in the imaging object region is calculated; step three, imaging processing is conducted through a standard back-projection imaging algorithm, so that an imaging object region image is obtained; step four, each pixel point of the imaging object region image is multiplied by one phase statistical parameter corresponding to the pixel point, so that an improved imaging object region image is obtained. According to the through-wall radar imaging method based on phase statistical parameter weighting, phase statistical features of the echo data of a through-wall radar are reasonably used, weighting processing is conducted on a through-wall radar image, so that the quality of the through-wall radar image is improved, calculation is simple, realization is easy, and the through-wall radar imaging method based on phase statistical parameter weighting can be used for actual engineering design and signal processing.

Description

technical field [0001] The invention belongs to the technical field of through-wall radar imaging, and proposes a through-wall radar imaging method based on phase statistical parameter weighting to improve the through-wall radar imaging quality. Background technique [0002] Wall-penetrating radar usually adopts stepping frequency system, emits low-frequency electromagnetic waves with good penetrability, can penetrate obstacles such as walls, and detect hidden targets. Wall radar imaging is an important development direction of through-wall radar. Through-wall radar imaging is to obtain high range resolution while ensuring penetration by transmitting low-frequency ultra-wideband signals. Using array antennas can achieve high azimuth resolution while realizing fast azimuth scanning. [0003] High-precision imaging of targets behind walls is the key to improving the detection performance of through-wall radars. However, on the one hand, there are inevitably phenomena such as...

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): G01S13/89
Inventor 陆必应周智敏金添宋千王建李杨寰赵洋孙鑫张斓子
Owner NAT UNIV OF DEFENSE TECH
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