bullet Sensors & Transducers Journal

    (ISSN 1726- 5479)


2008 e-Impact Factor

25 Top Downloaded Articles

Best Selling Articles 2012

Journal Subscription 2013

Editorial Calendar 2013

Submit an Article

Editorial Board

Current Issue

S&T journal's cover

Sensors & Transducers Journal 2011

Sensors & Transducers Journal 2010

Sensors & Transducers Journal 2009

Sensors & Transducers Journal 2008

Sensors & Transducers Journal 2007

2000-2002 S&T e-Digest Contents

2003 S&T e-Digest Contents

2004 S&T e-Digest Contents

2005 S&T e-Digest Contents

2006 S&T e-Digest Contents


Best Articles 2011




Vol. 158, Issue 11, November 2013, pp. 9-14




An Indoor Positioning Method with MEMS Inertial Sensors

Institute of Optical Communication Technology, Chongqing University of Posts and Telecommunications, Chongqing 400065, China
Tel.: 13658302450, fax: 021-62460380
E-mail: xwj880202@126.com


Received: 10 September 2013   /Accepted: 25 October 2013   /Published: 30 November 2013

Digital Sensors and Sensor Sysstems


Abstract: A new method is put forward to realize pedestrian's localization by inertial sensor in indoor environment, the positioning method is through pedestrian's motion information which is collected by an IMU system to achieve pedestrian's positioning. The pedestrian's gait is getting by fusion of acceleration data and gyro data, it is improved the traditional method which discriminate pedestrian's gait by single axis acceleration. A new method is proposed for estimating the pedestrian's walking step length by acceleration data, it is improved the estimation of the dynamic step length precision. By linear fitting algorithm to correct the yaw angle information, it would calculate more accurate yaw angle information. Using the step number, step length and yaw angle by fusion algorithm reproduce a pedestrian's route. The experimental results show that the positioning method of current positioning precision for each 1200 m error is in 10 m. Positioning error is about 8.33 %, it has high value of engineering application.


Keywords: Indoor positioning, Inertial measurement unit system, Trajectory reconstruction, Positioning precision.


Acrobat reader logo Click <here> or title of paper to download the full pages article in pdf format



Download <here> the Library Journal Recommendation Form



Read more about Position Sensors






1999 - 2018 Copyright , International Frequency Sensor Association (IFSA). All Rights Reserved.

Home - News - Links - Archives - Tools - Voltage-to-Frequency Converters - Standardization - Patents - Marketplace - Projects - Wish List - e-Shop - Sensor Jobs - Membership - Videos - Publishing - Site Map - Subscribe - Search

 Members Area -Sensors Portal -Training Courses - S&T Digest - For advertisers - Bookstore - Forums - Polls - Submit Press Release - Submit White Paper - Testimonies - Twitter - Facebook - LinkedIn