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| Presentation | 2021-02-19 14:55 Signal Decomposition of Collided Packets Employing Highly Accurate Estimation of Doppler Frequencies in Space-based AIS Kohei Nozaki, Yuwa Takanezawa, Yuyuan Chang, Kazuhiko Fukawa (Tokyo Tech), Daichi Hirahara (JAXA)  SAT2020-38 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | The automatic identification system (AIS) aims at communications among ships or between base stations on seaside and ships near the shore. On the other hand, Japan Aerospace Exploration Agency (JAXA) has conducted an experiment named Space based AIS Experiment (SPAISE), which enables satellites to observe AIS signals that are transmitted from ships across the open ocean and affected by Doppler shift. This experiment has shown that conventional and simple detection schemes cannot successfully receive AIS packets by satellites, because the wide coverage of the satellites causes a collision of several AIS signal packets. To cope with such a problem, a multi-user detection scheme such as PIC (Parallel Interference Cancellation) has been used for the signal detection. However, the bit error rate (BER) performance is degraded when channel parameters are estimated using cross correlation between the received signals and the known training sequence. To alleviate the degradation, this report proposes to employ highly accurate estimation scheme based on the quasi-Newton method for Doppler frequencies that affect the BER performance most. Computer simulations under Rician fading channel conditions demonstrate that PIC employing the highly accurate estimation of the Doppler frequencies can improve the BER performance furthermore. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Automatic identification system / Space-based AIS / cross correlation / PIC / Doppler frequency / quasi-Newton method / / | |
| Reference Info. | IEICE Tech. Rep., vol. 120, no. 372, SAT2020-38, pp. 48-53, Feb. 2021. | |
| Paper # | SAT2020-38 | |
| Date of Issue | 2021-02-11 (SAT) | |
| ISSN | Print edition: ISSN 0913-5685 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) | |
| Download PDF | SAT2020-38 |
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| Conference Information | |
| Committee | SANE SAT |
| Conference Date | 2021-02-18 - 2021-02-19 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Satellite technology, etc. |
| Paper Information | |
| Registration To | SAT |
| Conference Code | 2021-02-SANE-SAT |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Signal Decomposition of Collided Packets Employing Highly Accurate Estimation of Doppler Frequencies in Space-based AIS |
| Sub Title (in English) | |
| Keyword(1) | Automatic identification system |
| Keyword(2) | Space-based AIS |
| Keyword(3) | cross correlation |
| Keyword(4) | PIC |
| Keyword(5) | Doppler frequency |
| Keyword(6) | quasi-Newton method |
| Keyword(7) | |
| Keyword(8) | |
| 1st Author's Name | Kohei Nozaki |
| 1st Author's Affiliation | Tokyo Institute of Technology (Tokyo Tech) |
| 2nd Author's Name | Yuwa Takanezawa |
| 2nd Author's Affiliation | Tokyo Institute of Technology (Tokyo Tech) |
| 3rd Author's Name | Yuyuan Chang |
| 3rd Author's Affiliation | Tokyo Institute of Technology (Tokyo Tech) |
| 4th Author's Name | Kazuhiko Fukawa |
| 4th Author's Affiliation | Tokyo Institute of Technology (Tokyo Tech) |
| 5th Author's Name | Daichi Hirahara |
| 5th Author's Affiliation | Japan Aerospace Exploration Agency (JAXA) |
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| Speaker | 1 |
| Date Time | 2021-02-19 14:55:00 |
| Presentation Time | 25 |
| Registration for | SAT |
| Paper # | IEICE-SAT2020-38 |
| Volume (vol) | IEICE-120 |
| Number (no) | no.372 |
| Page | pp.48-53 |
| #Pages | IEICE-6 |
| Date of Issue | IEICE-SAT-2021-02-11 |
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