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| Presentation | 2022-01-20 14:30 A Study on Deep Unfolding-Aided GNSS Positioning Yuki Hayama, Shinsuke Ibi (Doshisha Univ.), Takumi Takahashi (Osaka Univ.), Hisato Iwai (Doshisha Univ.)  IT2021-43 SIP2021-51 RCS2021-211 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | In Global Navigation Satellite System (GNSS) positioning, the receiver position is estimated by solving the nonlinear simultaneous equations by the iterative method. However, disturbances induced by the ionosphere and troposphere deteriorate the accuracy of positioning. In order to suppress the harmful influence of the disturbance, differential positioning that improves the positioning accuracy with the assistance of the correction data yielded from the base station is effective. In this paper, we apply a deep unfolding (DU) technology that is a kind of deep learning technique and can construct flexible derivation algorithms by training data set to the GNSS iterative estimation algorithm. After learning the DU network based on observation data at the base station, and then the rover receives the correction data obtained in the DU network. The correction data helps in improving the rover positioning performance. This paper shows the effectiveness of DU-aided positioning, assuming the utilization of smartphones equipped with a low-cost GNSS receiver. |
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| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | GNSS positioning / pseudo range / differential GNSS / deep unfolding / baseline length / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 121, no. 329, RCS2021-211, pp. 87-92, Jan. 2022. | |
| Paper # | RCS2021-211 | |
| Date of Issue | 2022-01-13 (IT, SIP, RCS) | |
| 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) | |
| Download PDF | IT2021-43 SIP2021-51 RCS2021-211 |
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| Conference Information | |
| Committee | RCS SIP IT |
| Conference Date | 2022-01-20 - 2022-01-21 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Paper Information | |
| Registration To | RCS |
| Conference Code | 2022-01-RCS-SIP-IT |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | A Study on Deep Unfolding-Aided GNSS Positioning |
| Sub Title (in English) | |
| Keyword(1) | GNSS positioning |
| Keyword(2) | pseudo range |
| Keyword(3) | differential GNSS |
| Keyword(4) | deep unfolding |
| Keyword(5) | baseline length |
| Keyword(6) | |
| Keyword(7) | |
| Keyword(8) | |
| 1st Author's Name | Yuki Hayama |
| 1st Author's Affiliation | Doshisha University (Doshisha Univ.) |
| 2nd Author's Name | Shinsuke Ibi |
| 2nd Author's Affiliation | Doshisha University (Doshisha Univ.) |
| 3rd Author's Name | Takumi Takahashi |
| 3rd Author's Affiliation | Osaka University (Osaka Univ.) |
| 4th Author's Name | Hisato Iwai |
| 4th Author's Affiliation | Doshisha University (Doshisha Univ.) |
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| Speaker | Author-1 |
| Date Time | 2022-01-20 14:30:00 |
| Presentation Time | 25 minutes |
| Registration for | RCS |
| Paper # | IT2021-43, SIP2021-51, RCS2021-211 |
| Volume (vol) | vol.121 |
| Number (no) | no.327(IT), no.328(SIP), no.329(RCS) |
| Page | pp.87-92 |
| #Pages | 6 |
| Date of Issue | 2022-01-13 (IT, SIP, RCS) |
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