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Paper Abstract and Keywords
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
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
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

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  
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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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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