A Method for Accomplishing Accurate RCS Image in Compact Range (Special Issue on Millimeter-wave Short-range Application Systems Technology)
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概要
- 論文の詳細を見る
We propose a method for accomplishing accurate RCS (Radar Cross Section) images of a car in a compact range. It is an improved method based on an ISAR (Inverse Synthetic Aperture Radar) technique. To obtain accurate RCS values, an idea of an image correction function for the Fourier transform used in the ISAR processing is introduced. The role of the image correction function is to compensate the difference of the propagation loss as to the different scattering points on a target. As a result, 'sensitivity' of imaging in the compact range is kept uniform. Hamming window is suitable for the Fourier transform to accomplish RCS images because of its low sidelobe level and the sharpness of a mainlobe. When Hamming window is adopted, the spatial resolution is approximately twice the size of granularity which is determined by the ISAR parameters. To verify the improvement of the RCS images obtained by means of our method, several numerical target models are employed. The results of the investigation show that uniformity of 'sensitivity' for obtained RCS images is achieved in the compact range and accurate images with the resolution of twice the size of granularity are accomplished without blurs or distortions in the unambiguous area. RCS images for rear aspects of a passenger car are investigated with the spatial resolution of 50 mm in the 60 GHz band. The RCS image varies with the aspect angle of the car and the specular reflection occurs for the millimeter wave. When the curvature on the car edge is small, a blurred RCS image is observed. The reason is that a scattering center of the specular reflection moves so widely that it can't be regarded as a fixed point. This causes elongation of the RCS image. A peak value in the dominant area for each aspect angle is less than 0 dBsm and no remarkable areas where the RCS value exceeds -20 dBsm is found any more on the car except such the dominant area.
- 社団法人電子情報通信学会の論文
- 1996-12-25
著者
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Nishikawa K
Toyota Central R&d Labs Inc.
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Nishikawa Kunitoshi
Toyota Central R&d Laboratories
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Nishikawa Kunitoshi
Toyota Central Research & Development Laboratories Inc.
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Asano Y
Kansai University
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Ohshima Shigeki
Toyota Central Research And Development Laboratories
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ASANO Yoshikazu
Toyota Central Research and Development Labs.
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