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Method for realizing target electromagnetic scattering characteristic modeling and analysis based on GPU parallel SBR

A technology of target electromagnetic scattering and characteristics, applied in 3D modeling, details related to 3D image data, processor architecture/configuration, etc., can solve problems such as consuming computer memory, increasing the number of intersection tests between rays and bins, and achieving The effect of reducing memory requirements, reducing test intersection time, and improving computing efficiency

Pending Publication Date: 2019-12-17
NANJING UNIV OF SCI & TECH
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Problems solved by technology

However, in the submillimeter wave simulation, because the size of the object itself is much larger than the wavelength length, there are too many triangular surface elements in the mesh division, which not only consumes a lot of computer memory, but also increases the number of rays and surface elements. The number of intersection tests

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  • Method for realizing target electromagnetic scattering characteristic modeling and analysis based on GPU parallel SBR
  • Method for realizing target electromagnetic scattering characteristic modeling and analysis based on GPU parallel SBR
  • Method for realizing target electromagnetic scattering characteristic modeling and analysis based on GPU parallel SBR

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Embodiment 1

[0051] Given a ship model, such as Figure 5 As shown, the size of the model is 26m×4m×6.8m, the incident wave frequency is 200GHz, and the polarization mode is vv polarization. and 0°~360°, θ=60° single-station RCS, see Figure 6 and 7 , and the sweep angle interval is 1°. The test GPU is NVIDIA GTX 1080Ti.

[0052] Since the calculation time of the CPU_SBR method is relatively long when calculating the model, the incident angle is compared to θ=30°, and θ = 60°, The single-station RCS calculation time is shown in Table 1 below.

[0053] Table 1 Time comparison of different methods of ship single-station RCS

[0054]

[0055]

[0056] As can be seen from the results in Table 1, under two different incident angles, the GPU_SBR method of the present invention is 79 times and 80 times faster than the CPU_SBR method respectively, and the SBR method based on GPU's adaptive subdivision is 897 decibels faster than the CPU_SBR method times and 969 times, and the acc...

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Abstract

The invention discloses a method for realizing target electromagnetic scattering characteristic modeling and analysis based on GPU parallel SBR. For a target of a submillimeter wave band, geometric modeling is firstly carried out to simulate the physical shape of the target, and triangular surface elements are used to divide grids. The method comprises steps of fitting the shape of the target by using a small number of triangular surface elements for the target part; subdividing the initial subdivision surface elements to meet the requirement of the SBR method on the aperture of the ray tube;meanwhile, in the process of judging occlusion, using self-adaptive subdivision for subdividing all partially occluded surface elements into an occlusion type and a non-occlusion type, then carrying out ray tracing and field intensity tracing on the subdivided ray tubes in parallel through a GPU to obtain RCS of the ray tubes, and obtaining the total RCS of the target by accumulating the RCS of all the ray tubes. For each ray tube, the frequency of intersection needing to be tested is greatly reduced, and the calculation time of the SBR method is shortened. For a flattened target, a small number of triangular surface elements can fit the surface shape of the target, and the method does not lose the calculation precision of the SBR method.

Description

technical field [0001] The present invention relates to submillimeter wave measurement, in particular to a method of using a small number of triangular surface elements to fit a flattened target shape, and through self-adaptive subdivision of the ray tube to meet the requirements of the SBR method for the ray tube caliber, and at the same time map the ray tube to A method to quickly obtain the target RCS by performing parallel computing on the GPU. Background technique [0002] At present, the traditional SBR algorithm is generally used for the analysis of electromagnetic scattering of electrically large-sized targets, which requires that the division density of the ray tube must be greater than or equal to λ / 10. Good fit to the target surface. However, due to the fact that the size of the object itself is much larger than the wavelength length in the submillimeter wave simulation, there are too many triangular surface elements in the mesh division, which not only consumes ...

Claims

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Application Information

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IPC IPC(8): G06T17/20G06T1/20
CPCG06T17/20G06T1/20G06T2200/04
Inventor 樊振宏孙朦朦陈如山丁大志
Owner NANJING UNIV OF SCI & TECH
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