| Summary: | 碩士 === 國立臺北科技大學 === 電機工程研究所 === 103 === Synthetic Aperture Radar (SAR) is used of longer wavelength band radar telemetry technology. Because of its ability to penetrate the clouds, day and night surveillance and under any weather conditions can obtain information, gradually become the mainstream of today&;#39;s remote sensing technology. Radar Cross Section (RCS) is the target electromagnetic properties for the radar signal, the smaller represent reflected radar signal for weaker, SAR needs to rely on target reflected energy level to identify. Therefore, RCS prediction is very important for SAR.
Physical Optics (PO) is the method of calculation of RCS, by prediction the incident radiation to the surface of the target model triangles facets of the induced current, and use radiation integrating to calculate the target model the scattered field. But with the complexity of the target model and the precision increase, in many applications the scattered field of computing will cost a lot of time. Therefore, this paper proposes to use Compute Unified Device Architecture (CUDA) technology achieve parallel architecture of physical optics using Graphics Processing Unit (GPU) to further enhance the computing speed of high-precision model scattering field.
Evidenced by the results, this paper presents a parallel physical optics prediction RCS, on the program execution time has faster speed, compared to only use the CPU for computing performance has significantly improved ,and receive the correct target scattered field.
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