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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
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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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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)  
Keyword(1) Noise Power Estimation  
Keyword(2) Energy Detection  
Keyword(3) 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
Date of Issue 2020-11-11 (SR) 


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