IEICE Technical Committee Submission System
Conference Paper's Information
Online Proceedings
[Sign in]
Tech. Rep. Archives
 Go Top Page Go Previous   [Japanese] / [English] 

Paper Abstract and Keywords
Presentation 2015-10-08 13:45
Analytical Evaluation of Maximum Likelihood Estimation for SNR
Shinji Nishijima, Ikuo Oka, Shingo Ata (Osaka City Univ.) SAT2015-41
Abstract (in Japanese) (See Japanese page) 
(in English) The estimate channel state information (CSI) take an important role in the adaptive communication systems, which change modulation, coding rate, or power dynamically. Signal-to-noise ratio (SNR) is a key pa- rameter in CSI. In this paper, the performance of the maximum likelihood (ML) SNR estimation method for PSK and QAM is evaluated analytically. The ML SNR estimation method employs probability density function (pdf) of received signal envelope, and is shown to yield the superior performance synchronization under unknown signal and noise power condition without carrier. The ML estimation methods yield the superior performance than the moment methods.
Keyword (in Japanese) (See Japanese page) 
(in English) SNR estimation / Maximum Likelihood estimation / Estimation error probability / / / / /  
Reference Info. IEICE Tech. Rep., vol. 115, no. 241, SAT2015-41, pp. 141-144, Oct. 2015.
Paper # SAT2015-41 
Date of Issue 2015-09-30 (SAT) 
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 SAT2015-41

Conference Information
Committee SAT  
Conference Date 2015-10-07 - 2015-10-08 
Place (in Japanese) (See Japanese page) 
Place (in English) Osaka University Nakanoshima Center 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Satellite Communications, etc. (JC-SAT 2015) 
Paper Information
Registration To SAT 
Conference Code 2015-10-SAT 
Language English (Japanese title is available) 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Analytical Evaluation of Maximum Likelihood Estimation for SNR 
Sub Title (in English)  
Keyword(1) SNR estimation  
Keyword(2) Maximum Likelihood estimation  
Keyword(3) Estimation error probability  
Keyword(4)  
Keyword(5)  
Keyword(6)  
Keyword(7)  
Keyword(8)  
1st Author's Name Shinji Nishijima  
1st Author's Affiliation Osaka City University (Osaka City Univ.)
2nd Author's Name Ikuo Oka  
2nd Author's Affiliation Osaka City University (Osaka City Univ.)
3rd Author's Name Shingo Ata  
3rd Author's Affiliation Osaka City University (Osaka City Univ.)
4th Author's Name  
4th Author's Affiliation ()
5th Author's Name  
5th Author's Affiliation ()
6th Author's Name  
6th Author's Affiliation ()
7th Author's Name  
7th Author's Affiliation ()
8th Author's Name  
8th Author's Affiliation ()
9th Author's Name  
9th Author's Affiliation ()
10th Author's Name  
10th Author's Affiliation ()
11th Author's Name  
11th Author's Affiliation ()
12th Author's Name  
12th Author's Affiliation ()
13th Author's Name  
13th Author's Affiliation ()
14th Author's Name  
14th Author's Affiliation ()
15th Author's Name  
15th Author's Affiliation ()
16th Author's Name  
16th Author's Affiliation ()
17th Author's Name  
17th Author's Affiliation ()
18th Author's Name  
18th Author's Affiliation ()
19th Author's Name  
19th Author's Affiliation ()
20th Author's Name  
20th Author's Affiliation ()
Speaker
Date Time 2015-10-08 13:45:00 
Presentation Time 25 
Registration for SAT 
Paper # IEICE-SAT2015-41 
Volume (vol) IEICE-115 
Number (no) no.241 
Page pp.141-144 
#Pages IEICE-4 
Date of Issue IEICE-SAT-2015-09-30 


[Return to Top Page]

[Return to IEICE Web Page]


The Institute of Electronics, Information and Communication Engineers (IEICE), Japan