Paper Abstract and Keywords |
Presentation |
2020-11-18 14:20
A Study on Noise Power Estimation based on Goodness of Fit Statistics Hiroki Iwata, Kenta Umebayashi (TUAT) SR2020-28 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
This paper focuses on spectrum sensing and spectrum measurement exploiting an energy detector. In this case, an noise power estimation with high accuracy and low cost is required to set a proper detection threshold. Therefore, this paper investigates a noise power estimation based on goodness of fit measure between received power samples and guessed quantile functions with noise power estimate candidates. Specifically, we apply the squared error between the received power samples and the guessed quantile functions as a goodness of fit measure. And, we propose a noise power estimation method which adopts a noise power estimate candidate with the least squared error. Extensive numerical evaluations show that the proposed method can achieve outstanding noise power estimation performance over a wide SNR region than the FCME (Forward Consecutive Mean Excision) method, and it has very small computational complexity than the least square method between the empirical distribution and the guessed cumulative distribution. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Noise Power Estimation / Energy Detection / Spectrum Sensing / Spectrum Measurement / Dynamic Spectrum Access / / / |
Reference Info. |
IEICE Tech. Rep., vol. 120, no. 238, SR2020-28, pp. 37-43, Nov. 2020. |
Paper # |
SR2020-28 |
Date of Issue |
2020-11-11 (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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SR2020-28 |
Conference Information |
Committee |
SR |
Conference Date |
2020-11-18 - 2020-11-20 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Online |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
Software Radio, Cognitive Radio, Spectrum Sharing, etc. |
Paper Information |
Registration To |
SR |
Conference Code |
2020-11-SR |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
A Study on Noise Power Estimation based on Goodness of Fit Statistics |
Sub Title (in English) |
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Keyword(1) |
Noise Power Estimation |
Keyword(2) |
Energy Detection |
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Spectrum Sensing |
Keyword(4) |
Spectrum Measurement |
Keyword(5) |
Dynamic Spectrum Access |
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1st Author's Name |
Hiroki Iwata |
1st Author's Affiliation |
Tokyo University of Agriculture and Technology (TUAT) |
2nd Author's Name |
Kenta Umebayashi |
2nd Author's Affiliation |
Tokyo University of Agriculture and Technology (TUAT) |
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Speaker |
Author-1 |
Date Time |
2020-11-18 14:20:00 |
Presentation Time |
25 minutes |
Registration for |
SR |
Paper # |
SR2020-28 |
Volume (vol) |
vol.120 |
Number (no) |
no.238 |
Page |
pp.37-43 |
#Pages |
7 |
Date of Issue |
2020-11-11 (SR) |
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