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| Presentation | 2022-10-19 09:30 [Poster Presentation] Fast and High-accuracy Channel Estimation Method for Reconfigurable Intelligent Surfaces Combining Load Modulation and Compressed Sensing Techniques Shun Sasaki, Takumi Kato, Kentaro Murata, Naoki Honma (Iwate Univ.)  AP2022-105 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | In this study, we propose a channel estimation method for reconfigurable intelligent surfaces (RIS) combining the load modulation and compressed sensing techniques. In this method, a load-modulating channel estimation method is applied to only a few elements by utilizing the phenomenon that the received signal strength (RSS) changes via mutual coupling when the loads in the elements are controlled. The overall RIS channels are reconstructed from the signal information (direction of arrival, amplitude, and phase) of all arrival waves estimated based on the compressive sensing. To improve the channel estimation accuracy, we optimize the element array to which the load-modulating channel estimation method is applied. In addition, we reduce the number of angle bins by pre-beamforming (PBF) with the optimized element array to shorten the calculation time. Numerical analysis shows the effectiveness of the proposed channel estimation method by evaluating the estimation accuracy for the element arrays and the effect of angle bin reduction by applying PBF. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Reconfigurable intelligent surfaces / Channel estimation / Load-modulation / Compressed sensing / Pre-beamforming / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 122, no. 214, AP2022-105, pp. 47-52, Oct. 2022. | |
| Paper # | AP2022-105 | |
| Date of Issue | 2022-10-12 (AP) | |
| 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 | AP2022-105 |
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| Conference Information | |
| Committee | AP |
| Conference Date | 2022-10-19 - 2022-10-20 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | GIFU CITY CULTURE CENTER |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Student Session, Antennas and Propagation |
| Paper Information | |
| Registration To | AP |
| Conference Code | 2022-10-AP |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Fast and High-accuracy Channel Estimation Method for Reconfigurable Intelligent Surfaces Combining Load Modulation and Compressed Sensing Techniques |
| Sub Title (in English) | |
| Keyword(1) | Reconfigurable intelligent surfaces |
| Keyword(2) | Channel estimation |
| Keyword(3) | Load-modulation |
| Keyword(4) | Compressed sensing |
| Keyword(5) | Pre-beamforming |
| Keyword(6) | |
| Keyword(7) | |
| Keyword(8) | |
| 1st Author's Name | Shun Sasaki |
| 1st Author's Affiliation | Iwate University (Iwate Univ.) |
| 2nd Author's Name | Takumi Kato |
| 2nd Author's Affiliation | Iwate University (Iwate Univ.) |
| 3rd Author's Name | Kentaro Murata |
| 3rd Author's Affiliation | Iwate University (Iwate Univ.) |
| 4th Author's Name | Naoki Honma |
| 4th Author's Affiliation | Iwate University (Iwate Univ.) |
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| Speaker | Author-1 |
| Date Time | 2022-10-19 09:30:00 |
| Presentation Time | 120 minutes |
| Registration for | AP |
| Paper # | AP2022-105 |
| Volume (vol) | vol.122 |
| Number (no) | no.214 |
| Page | pp.47-52 |
| #Pages | 6 |
| Date of Issue | 2022-10-12 (AP) |
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