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Paper Abstract and Keywords
Presentation 2016-03-02 17:45
Soft-Decision-Aided Joint Maximum-Likelihood Estimation of Signal Power and Noise Spectral Density Over AWGN Channels
Yohei Shibata (Keio Univ.), Haifeng Yuan (NUS), Tomoaki Ohtsuki, Pooi Yuen Kam (Keio Univ.), Jun Mashino (NTT) RCS2015-350
Abstract (in Japanese) (See Japanese page) 
(in English) The estimation of signal power and noise spectral density is a fundamental problem in communication theory, which is conventionally acquired from the received pilot signals. To increase the power- and bandwidth-efficiency, the pilot overhead has to be reduced and the remaining pilots are usually not sufficient for accurate acquisition of the signal power and noise spectral density.
In this paper, we derive the soft-decision-aided joint maximum likelihood (SDA-ML) estimator for the signal power and the noise spectral density that utilizes entire received signal sequence including both pilot signals and data signals. Our work shows how the soft information should be utilized to estimate the signal power and the noise spectral density. An iterative implementation of the SDA-ML estimator is also proposed, which uses a previous estimate of the signal power and the noise spectral density to get the next estimate. Simulation results show that the SDA-ML estimator outperforms conventional pilot-aided estimation and hard-decision estimation in the normalized estimation error variance and bit error rate.
Keyword (in Japanese) (See Japanese page) 
(in English) soft decision / maximum-likelihood / signal power / noise spectral density / / / /  
Reference Info. IEICE Tech. Rep., vol. 115, no. 472, RCS2015-350, pp. 103-108, March 2016.
Paper # RCS2015-350 
Date of Issue 2016-02-24 (RCS) 
ISSN Print edition: ISSN 0913-5685    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 RCS2015-350

Conference Information
Committee RCS CCS SR SRW  
Conference Date 2016-03-02 - 2016-03-04 
Place (in Japanese) (See Japanese page) 
Place (in English) Tokyo Institute of Technology 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Mobile Communication Workshop 
Paper Information
Registration To RCS 
Conference Code 2016-03-RCS-CCS-SR-SRW 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Soft-Decision-Aided Joint Maximum-Likelihood Estimation of Signal Power and Noise Spectral Density Over AWGN Channels 
Sub Title (in English)  
Keyword(1) soft decision  
Keyword(2) maximum-likelihood  
Keyword(3) signal power  
Keyword(4) noise spectral density  
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1st Author's Name Yohei Shibata  
1st Author's Affiliation Keio University (Keio Univ.)
2nd Author's Name Haifeng Yuan  
2nd Author's Affiliation National University of Singapore (NUS)
3rd Author's Name Tomoaki Ohtsuki  
3rd Author's Affiliation Keio University (Keio Univ.)
4th Author's Name Pooi Yuen Kam  
4th Author's Affiliation Keio University (Keio Univ.)
5th Author's Name Jun Mashino  
5th Author's Affiliation Nippon Telegraph and Telephone Corporation (NTT)
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Speaker Author-1 
Date Time 2016-03-02 17:45:00 
Presentation Time 25 minutes 
Registration for RCS 
Paper # RCS2015-350 
Volume (vol) vol.115 
Number (no) no.472 
Page pp.103-108 
#Pages 6 
Date of Issue 2016-02-24 (RCS) 

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