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Paper Abstract and Keywords
Presentation 2021-12-16 14:35
Scattering Cross-Section Synthesis for Multiple Targets Based on Radar Image
Takuma Watanabe (Fujitsu), Hiroyoshi Yamada (Niigata Univ.) SANE2021-75
Abstract (in Japanese) (See Japanese page) 
(in English) In this study, we propose a radar cross-section (RCS) prediction method for a cluster of multiple targets that combines radar images of a single target. In characterizing an object or a target measured by radar, RCS is an essential physical parameter of the target. The importance of radar technology, such as automotive radar systems for collision avoidance, has continuously grown in recent years, and the demand for RCS measurement and prediction is expected to increase accordingly. As RCS is defined in the far field of a target, direct RCS measurement of an electrically large object in spatially limited indoor facilities is usually infeasible. Therefore, several near-field-to-far-field transformation (NFFFT) techniques have been developed to overcome this limitation. Moreover, RCS measurement of a cluster of multiple targets is required for certain situations. In such cases, in addition to the abovementioned spatial limitation, the cost of manufacturing multiple test objects and repeating similar experiments for different arrangements of the targets must be taken into account. To deal with these problems, we utilize the NFFFT technique based on synthetic aperture radar (SAR) or inverse SAR (ISAR) imaging. First, we measure the backscattering of a single target in the near-field distance and reconstruct the radar image from the measured data. Second, multiple images are created by rotating and transforming the original image such that the target is located at the desired positions. Finally, the created images are coherently synthesized, and the RCS is computed from the synthesized image. Numerical electromagnetic simulations based on the method of moments are used for validating the proposed method.
Keyword (in Japanese) (See Japanese page) 
(in English) Radar Cross-Section (RCS) / Synthetic Aperture Radar (SAR) / Multiple Targets / Image Reconstruction / Near-Field-to-Far-Field Transformation (NFFFT) / / /  
Reference Info. IEICE Tech. Rep., vol. 121, no. 306, SANE2021-75, pp. 69-74, Dec. 2021.
Paper # SANE2021-75 
Date of Issue 2021-12-09 (SANE) 
ISSN Online edition: ISSN 2432-6380
Copyright
and
reproduction
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
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Conference Information
Committee SANE  
Conference Date 2021-12-16 - 2021-12-16 
Place (in Japanese) (See Japanese page) 
Place (in English) Chiba University 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Radar, Remote Sensing and general issues 
Paper Information
Registration To SANE 
Conference Code 2021-12-SANE 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Scattering Cross-Section Synthesis for Multiple Targets Based on Radar Image 
Sub Title (in English)  
Keyword(1) Radar Cross-Section (RCS)  
Keyword(2) Synthetic Aperture Radar (SAR)  
Keyword(3) Multiple Targets  
Keyword(4) Image Reconstruction  
Keyword(5) Near-Field-to-Far-Field Transformation (NFFFT)  
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1st Author's Name Takuma Watanabe  
1st Author's Affiliation Fujitsu Limited (Fujitsu)
2nd Author's Name Hiroyoshi Yamada  
2nd Author's Affiliation Niigata University (Niigata Univ.)
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Speaker Author-1 
Date Time 2021-12-16 14:35:00 
Presentation Time 20 minutes 
Registration for SANE 
Paper # SANE2021-75 
Volume (vol) vol.121 
Number (no) no.306 
Page pp.69-74 
#Pages
Date of Issue 2021-12-09 (SANE) 


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