Paper Abstract and Keywords |
Presentation |
2022-08-18 17:20
Trajectory Segment Compression Method Based on Inverse Convolution for High resolution Space Debris Detection Takayuki Inaba (Inaba Radar Technology Laboratory/UEC), Takumi Taniguchi (UEC) SANE2022-42 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
We have proposed Trajectory Segment Integration Method for GEO space debris detection by ground based optical observations. This method focuses on improving the S / N performance for debris search with wide FOV. However, it is important to improve the resolution in order to observe the splitting debris due to collisions and explosions of geostationary satellites. In this paper, the line segment compression processing of LEM in Trajectory Segment Integration Method is improved from the conventional cross-correlation processing (pulse compression processing) to the "IF method" based on the reverse convolution by multiplying in the frequency axis. Furthermore, for the purpose of separating and detecting debris with different target characteristics (inclination of trajectory segments, etc.), we propose recursive BRL method which employed Relax subtract iteration of a hybrid configuration of the IF method and a blind Richardson Lucy method. By computer simulation, it is confirmed that each method can obtain higher resolution than the conventional method focusing on S / N improvement. Furthermore, it is shown the IF method result that apply to observation images. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Space Debris / Invers filter / Richardson Lucy method / Trajectory Segment Integration Method / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 122, no. 151, SANE2022-42, pp. 50-55, Aug. 2022. |
Paper # |
SANE2022-42 |
Date of Issue |
2022-08-11 (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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SANE2022-42 |
Conference Information |
Committee |
SANE |
Conference Date |
2022-08-18 - 2022-08-19 |
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Paper Information |
Registration To |
SANE |
Conference Code |
2022-08-SANE |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Trajectory Segment Compression Method Based on Inverse Convolution for High resolution Space Debris Detection |
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Space Debris |
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Invers filter |
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Richardson Lucy method |
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Trajectory Segment Integration Method |
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1st Author's Name |
Takayuki Inaba |
1st Author's Affiliation |
Inaba Radar Technology Laboratory/The University of Electro-Communications (Inaba Radar Technology Laboratory/UEC) |
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Takumi Taniguchi |
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The University of Electro-Communications (UEC) |
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Speaker |
Author-1 |
Date Time |
2022-08-18 17:20:00 |
Presentation Time |
25 minutes |
Registration for |
SANE |
Paper # |
SANE2022-42 |
Volume (vol) |
vol.122 |
Number (no) |
no.151 |
Page |
pp.50-55 |
#Pages |
6 |
Date of Issue |
2022-08-11 (SANE) |
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