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Paper Abstract and Keywords
Presentation 2022-02-24 17:05
Multiuser Detection of Collided AIS Packets using Iterative Channel Estimation
Kohei Nozaki, Yuyuan Chang, Kazuhiko Fukawa (Tokyo Tech), Daichi Hirahara (JAXA) SAT2021-61
Abstract (in Japanese) (See Japanese page) 
(in English) The space-based automatic identification system (AIS) has attracted attention because the satellites can receive AIS signals from ships located away from the coast. Japan Aerospace Exploration Agency (JAXA) has conducted an experiment called space based AIS experiment (SPAISE), and shown that the satellites can observe AIS signals with Doppler shifts. Due to the wide coverage area of the satellite, however, multiple AIS packets collide at the satellite's receiver, which makes it difficult to detect the signals using conventional detection schemes. To cope with this problem, multiuser detection using parallel interference cancellation (PIC) has been investigated, and it has shown excellent detection performance when the channel parameters are completely known. However, under a low desired to undesired signal power ratio (DUR) condition, the bit error rate (BER) is significantly degraded due to insufficiently accurate estimates of the channel parameters.
To alleviate the degradation, this report proposes sequential channel parameter estimation for PIC, which can improve the estimation accuracy and thus can maintain the good BER performance even when the DUR is low. Besides the conventional correlation-based channel parameter estimation, the proposed scheme employs the quasi-Newton and least squares methods for the estimation of the Doppler frequencies and complex envelopes, respectively. Moreover, the correlation-based estimation of the propagation delay time is repeated again. Computer simulations under the conditions of two collision packets and Rician fading channels demonstrate that the proposed scheme can improve the channel estimation accuracy and average BER performance.
Keyword (in Japanese) (See Japanese page) 
(in English) Automatic identification system / space-based AIS / correlation-based estimation / PIC / least squares method / / /  
Reference Info. IEICE Tech. Rep., vol. 121, no. 379, SAT2021-61, pp. 51-56, Feb. 2022.
Paper # SAT2021-61 
Date of Issue 2022-02-17 (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 SAT2021-61

Conference Information
Committee SAT SANE  
Conference Date 2022-02-24 - 2022-02-25 
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 2022-02-SAT-SANE 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Multiuser Detection of Collided AIS Packets using Iterative Channel Estimation 
Sub Title (in English)  
Keyword(1) Automatic identification system  
Keyword(2) space-based AIS  
Keyword(3) correlation-based estimation  
Keyword(4) PIC  
Keyword(5) least squares method  
1st Author's Name Kohei Nozaki  
1st Author's Affiliation Tokyo Institute of Technology (Tokyo Tech)
2nd Author's Name Yuyuan Chang  
2nd Author's Affiliation Tokyo Institute of Technology (Tokyo Tech)
3rd Author's Name Kazuhiko Fukawa  
3rd Author's Affiliation Tokyo Institute of Technology (Tokyo Tech)
4th Author's Name Daichi Hirahara  
4th Author's Affiliation Japan Aerospace Exploration Agency (JAXA)
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Date Time 2022-02-24 17:05:00 
Presentation Time 25 
Registration for SAT 
Paper # IEICE-SAT2021-61 
Volume (vol) IEICE-121 
Number (no) no.379 
Page pp.51-56 
#Pages IEICE-6 
Date of Issue IEICE-SAT-2022-02-17 

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