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Ultra-wideband radar human-motion-target imaging method based on IBST (Inverse Boundary Scattering Transform)

An ultra-wideband radar, human motion technology, applied in the direction of using re-radiation, reflection/re-radiation of radio waves, measurement devices, etc., can solve problems such as low computational efficiency

Inactive Publication Date: 2011-07-20
INST OF ELECTRONICS CHINESE ACAD OF SCI
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Problems solved by technology

[0015] The purpose of the present invention is to provide a kind of UWB radar human body moving target imaging method based on inverse boundary scattering transformation, to overcome the shortcoming of low calculation efficiency in the moving target imaging method in the known technology

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  • Ultra-wideband radar human-motion-target imaging method based on IBST (Inverse Boundary Scattering Transform)
  • Ultra-wideband radar human-motion-target imaging method based on IBST (Inverse Boundary Scattering Transform)
  • Ultra-wideband radar human-motion-target imaging method based on IBST (Inverse Boundary Scattering Transform)

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[0068] The present invention will be further explained in detail in conjunction with the accompanying drawings and specific embodiments.

[0069] See Figure 4 , in the ultra-wideband radar human moving target imaging method based on inverse boundary scattering transformation of the present invention, one send and two receive fixed antenna arrays are placed along the azimuth direction, and the transmitting antenna is placed between the two receiving antennas, then the method described in the present invention can be applied The target tracking imaging method processes the echo signal of the antenna array to form a target boundary image and calculate the target trajectory.

[0070] see Figure 10 , the ultra-wideband radar human body moving target imaging method based on inverse boundary scattering transformation of the present invention, comprises steps:

[0071] The first step is to establish a UWB radar moving human target imaging scene model and set the system parameters ...

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Abstract

The invention relates to an ultra-wideband radar human-motion-target imaging method based on IBST (Inverse Boundary Scattering Transform). The method comprises the following steps of: establishing an ultra-wideband radar motion target scene model and setting imaging parameters; establishing a target motion speed and angle set; inputting the echo signals of two receiving antennae and carrying out cumulative mean and matched filtering treatment to obtain an output signal with a high SNR (Signal-To-Noise); carrying out fitting interpolation calculation on the output signal by utilizing a cubic spline function and extracting quasi-wavefront; respectively calculating target boundary images of the two receiving antennae under corresponding coordinate systems for elements in the set by utilizing the IBST based on a bistatic radar; carrying out coordinate transformation and finding (vi, theta j) on which twice imaging is matched under a new coordinate system, to be used as the estimated values of target motion speed and motion direction, wherein the corresponding images are target boundary images; and calculating the motion tracks of a target in an orientation direction and a distance direction tracks by using the estimated values and synthesizing a target motion track. The ultra-wideband radar human-motion-target imaging method provided by the invention has low requirements for system hardware, and can be used for imaging the motion target boundary and calculating the motion track.

Description

technical field [0001] The invention relates to an ultra-wideband radar human body moving target imaging method based on inverse boundary scattering transformation, in particular to a real-time tracking and imaging technology for a moving human target by an ultra-wideband radar system within a limited distance. Background technique [0002] The tracking and imaging of moving human objects requires the system to have better real-time performance, and higher requirements are also put forward for the imaging algorithm. Traditional ultra-wideband imaging algorithms can no longer meet the requirements in terms of recognition ability and computational efficiency. For example, the Trilateration method can only locate and image point targets, and it is difficult to solve when there are multiple targets. The back-projection (BP, Back-Projection) algorithm in the time domain has a large amount of calculation, and the imaging effect is not satisfactory. [0003] In recent years, some...

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Application Information

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IPC IPC(8): G01S13/66G01S13/89
Inventor 黄琼吴秉横吴世有陈洁孟升卫方广有
Owner INST OF ELECTRONICS CHINESE ACAD OF SCI
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