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Holographic microwave rapid imaging method based on compressed sensing

A technology of compressed sensing and imaging method, which is applied in radio wave measurement system, radio wave reflection/re-radiation, utilization of re-radiation, etc. It can solve the problems of low sensitivity, long imaging scanning time, low resolution, etc., and improve imaging Effects on quality, cost reduction and scan time

Active Publication Date: 2019-01-11
HEFEI UNIV OF TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, due to the limitations of algorithms and imaging system design, there are still many shortcomings in HMI real-time imaging, mainly including: long imaging scan time, low resolution, low sensitivity, and serious noise interference

Method used

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  • Holographic microwave rapid imaging method based on compressed sensing
  • Holographic microwave rapid imaging method based on compressed sensing
  • Holographic microwave rapid imaging method based on compressed sensing

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Embodiment 1

[0073] This embodiment discloses a holographic microwave rapid imaging method based on compressed sensing, which can be realized by the system of the present invention and / or other alternative components. For example, the method of the present invention is realized by using various components in the system of the present invention.

[0074] According to a preferred embodiment, a compressive sensing-based holographic microwave rapid imaging method may include configuring a system to complete the imaging process. The system may include at least one of a signal transmitting module 2 , a signal receiving module 3 and a signal processing module 5 . The signal transmitting module 2 may include at least one transmitting antenna 21 . The signal receiving module 3 may include at least three receiving antennas 31 arranged non-uniformly. Preferably, at least three receiving antennas are arranged on the same plane. At least three receiving antennas 31 and at least one transmitting ante...

Embodiment 2

[0078] This embodiment discloses a holographic microwave rapid imaging system based on compressed sensing, and the system is suitable for performing various method steps described in the present invention to achieve expected technical effects.

[0079] According to a preferred embodiment, a holographic microwave rapid imaging system based on compressed sensing includes at least one of a control module 4, a signal transmitting module 2, a signal receiving module 3, a signal processing module 5 and an image analysis module. Preferably, the image analysis module can perform denoising and local feature extraction processing on the two-dimensional image of the target object, and then transmit it to the display module 6 for display.

[0080] According to a preferred embodiment, the signal processing module 5 compares the scattered electric fields detected by any two receiving antennas 31 in the at least three receiving antennas 31, and uses the visibility function obtained from the p...

Embodiment 3

[0137] This embodiment may be a further improvement and / or supplement to Embodiment 1, 2 or a combination thereof. In the case of no conflict or contradiction, the whole and / or part of the content of the preferred implementations of other embodiments may serve as supplements to this embodiment.

[0138] According to a preferred embodiment, a compressive sensing-based holographic microwave rapid imaging method, especially a holographic microwave rapid imaging method based on detection of hidden objects in a living body, comprises the following steps:

[0139] S1. Set up a hidden object detection system including a signal generating module 1, a signal transmitting module 2, a signal receiving module 3, a control module 4, a signal processing module 5, an image input module, an image analysis module and a display module 6, and a signal transmitting module 2 Including at least one transmitting antenna 21, the signal receiving module 3 includes at least three receiving antennas 31;...

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Abstract

The invention relates to a holographic microwave rapid imaging method based on compressed sensing. The holographic microwave rapid imaging method comprises the steps that a system for imaging is configured, the system comprises a signal transmitting module, a signal receiving module and a signal processing module, the signal transmitting module comprises a transmitting antenna, and the signal receiving module comprises at least three receiving antennas which are not uniformly arranged; the signal transmitting module continuously transmits a microwave signal of a single frequency to a target area as an incident electric field; at least part of the microwave signal is reflected by different parts in a target object to form a scattered electric field in the target area after the microwave signal penetrates the target object located in the target area, and the scattered electric field is detected by the at least three receiving antennas to obtain scattered electric field echo signals; andthe signal processing module performs pairwise comparison on the scattered electric field signals detected by any two of the at least three receiving antennas, and a visibility function obtained by the pairwise comparison is combined with a compressed sensing signal processing method to be used for constructing a two-dimensional image of the target object in an arbitrary shape.

Description

technical field [0001] The invention relates to the technical field of microwave imaging, in particular to a compressed sensing-based holographic microwave rapid imaging method. Background technique [0002] Compressed Sensing, the English name is Compressive Sensing or Compressed Sensing, referred to as CS. Compressed sensing is a new information acquisition theory proposed by Donoho, Candès and Chinese scientist Tao in 2006. The theory states that compressible signals can be accurately recovered from measurement data far below the Nyquist sampling rate. The advantage of the new theory is that the number of measurements necessary to extract the signal can be greatly compressed by virtue of the sparsity of the measured signal. Once the theory was proposed, it has been applied in many signal processing fields such as image processing, medical imaging, pattern recognition, geological exploration, optical / radar imaging, wireless communication, etc., and was rated as one of th...

Claims

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Application Information

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IPC IPC(8): G01S13/89G01S7/03
CPCG01S7/03G01S13/89
Inventor 王露露
Owner HEFEI UNIV OF TECH
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