Paper Abstract and Keywords |
Presentation |
2023-01-27 10:30
A Practical Number of Sampling Points for RF Spectrum Regeneration Method Using Direct RF Undersampling Takashi Shiba, Tomoyuki Furuichi, Noriharu Suematsu (Tohoku Univ.) SR2022-75 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
A Direct RF undersampling method is an important technique for simple circuits and devices because sampling frequency of Analogue to Digital converter can be decreased. It is specially useful to measure spectrum in several wireless system at factory. We have proposed several methods to regenerate RF-spectrum by using direct undersampling data from parallel connected multi-ADCs. Sampling numbers of each ADCs are important parameters in order to regenerate RF spectrum. We show a relation between independent variables of these sampling number and some band conditions. These sampling numbers are conventionally set to relatively primes to keep independent variables. Therefore, independent variables can not be kept because of the prime number restriction when high speed signal processing is necessary. We show there is a suitable condition at the case of not relatively primes in this report. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Direct RF undersampling / Spectrum sensing / Sampling number / Independent variables / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 122, no. 364, SR2022-75, pp. 12-19, Jan. 2023. |
Paper # |
SR2022-75 |
Date of Issue |
2023-01-19 (SR) |
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) |
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SR2022-75 |
Conference Information |
Committee |
SR UWT |
Conference Date |
2023-01-26 - 2023-01-27 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Takanawa Campus, Tokai Univ. |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
Cognitive Radio, Spectrum Management, Heterogeneous Network, SDN, Machine Learning Application, etc. |
Paper Information |
Registration To |
SR |
Conference Code |
2023-01-SR-UWT |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
A Practical Number of Sampling Points for RF Spectrum Regeneration Method Using Direct RF Undersampling |
Sub Title (in English) |
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Keyword(1) |
Direct RF undersampling |
Keyword(2) |
Spectrum sensing |
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Sampling number |
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Independent variables |
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1st Author's Name |
Takashi Shiba |
1st Author's Affiliation |
Tohoku University (Tohoku Univ.) |
2nd Author's Name |
Tomoyuki Furuichi |
2nd Author's Affiliation |
Tohoku University (Tohoku Univ.) |
3rd Author's Name |
Noriharu Suematsu |
3rd Author's Affiliation |
Tohoku University (Tohoku Univ.) |
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Speaker |
Author-1 |
Date Time |
2023-01-27 10:30:00 |
Presentation Time |
25 minutes |
Registration for |
SR |
Paper # |
SR2022-75 |
Volume (vol) |
vol.122 |
Number (no) |
no.364 |
Page |
pp.12-19 |
#Pages |
8 |
Date of Issue |
2023-01-19 (SR) |
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