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Paper Abstract and Keywords
Presentation 2013-05-17 09:00
A study on positioning systems by kalman filter using location and sensor information
Ryo Ogawara, Masahiro Fujii, Hiroyuki Hatano, Yu Watanabe (Utsunomiya Univ.) WBS2013-7
Abstract (in Japanese) (See Japanese page) 
(in English) Recently, it is possible to use various network connections at several location using mobile devices.
There are some services for mobile devices which makes use of location information.
For these services, it is necessary to estimate the location of the moving mobile devices.
It is well-known that we can use the GPS in order to obtain the absolute position of the device.
On the other hand, it is possible to employ dead-reckoning method adopted by the conventional car navigation system using built-in sensors to obtain the relative movement of the device.
The latest mobile devices such as the smartphone are equipped with some sensors to capture the behavior of the device for entertainment.
In this paper, we propose a new location estimation method which combines the absolute location information by the GPS with the relative movement information by the sensors.
We evaluate the proposed method in terms of the estimation accuracy by fi eld experiments when we adopt the Kalman fi lter algorithm by using the absolute location information and the relative movement information.
From the results of our fi eld experiments, we show that the proposed method using the sensor information outperforms the conventional estimation method without it.
Keyword (in Japanese) (See Japanese page) 
(in English) Mobile device / Location estimation / Sensor / Kalman filter / / / /  
Reference Info. IEICE Tech. Rep., vol. 113, no. 31, WBS2013-7, pp. 37-41, May 2013.
Paper # WBS2013-7 
Date of Issue 2013-05-09 (WBS) 
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 WBS2013-7

Conference Information
Committee WBS SAT  
Conference Date 2013-05-16 - 2013-05-17 
Place (in Japanese) (See Japanese page) 
Place (in English) Utsunomiya Univ. 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Coding, Modulation, Signal Processing, etc. 
Paper Information
Registration To WBS 
Conference Code 2013-05-WBS-SAT 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A study on positioning systems by kalman filter using location and sensor information 
Sub Title (in English)  
Keyword(1) Mobile device  
Keyword(2) Location estimation  
Keyword(3) Sensor  
Keyword(4) Kalman filter  
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1st Author's Name Ryo Ogawara  
1st Author's Affiliation Utsunomiya University (Utsunomiya Univ.)
2nd Author's Name Masahiro Fujii  
2nd Author's Affiliation Utsunomiya University (Utsunomiya Univ.)
3rd Author's Name Hiroyuki Hatano  
3rd Author's Affiliation Utsunomiya University (Utsunomiya Univ.)
4th Author's Name Yu Watanabe  
4th Author's Affiliation Utsunomiya University (Utsunomiya Univ.)
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Speaker Author-1 
Date Time 2013-05-17 09:00:00 
Presentation Time 25 minutes 
Registration for WBS 
Paper # WBS2013-7 
Volume (vol) vol.113 
Number (no) no.31 
Page pp.37-41 
#Pages
Date of Issue 2013-05-09 (WBS) 


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