bullet Sensors & Transducers Journal

    (ISSN: 2306-8515, e-ISSN 1726-5479)

0.705

2013 Global Impact Factor

205.767

2008 e-Impact Factor

25 Top Downloaded Articles

Best Selling Articles 2012

Journal Subscription 2014

Editorial Calendar

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. 175, Issue 7, July 2014, pp. 16-21

 

Bullet

 

A Novel Attitude Measurement Algorithm in Magnetic Interference Environment
 

1 Lingxia Li, * 1 Lili Shi, 2 Yu Liu, 1 Zengshan Tian, 1 Mu Zhou

1 Institute of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, China
2 Institute of Optical Communication Technology, Chongqing University of Posts and Telecommunications, Chongqing 400065, China
*1 Tel.: 13883717506, fax: 023-62487972

*1 E-mail: slili2012@sina.com

 

Received: 23 April 2014 /Accepted: 30 May 2014 /Published: 31 July 2014

Digital Sensors and Sensor Sysstems

 

Abstract: The approach of using Magnetic Angular Rate Gravity (MARG) sensor for the current multi-sensor based pedestrian navigation algorithm magnetometers is susceptible to the external magnetic interference. The result of attitude is affected by many factors, like the low-precision MEMS gyro drift and large body linear acceleration measurements. In this paper, we propose anti-jamming algorithm which is based on four elements of Extended Kalman Filtering (EKF). To reduce carrier linear acceleration and local magnetic field that impact on attitude measurement, the adaptive covariance matrix structure is considered. Moreover, the heading angle correction threshold method is used in magnetic field compensation and interference environment. Based on the experimental results, the effectiveness of the proposed algorithm suppresses the influence of the external magnetic interference on heading angle, as well as improving the accuracy of system attitude measurement.

 

Keywords: Multi-sensor, Complex environment, Fusion algorithm, Anti-magnetic interference.

 

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

 

 

Subscribe the full-page Sensors & Transducers journal in print (paper) or pdf formats

(shipping cost by standard mail for paper version is included)

(25 % discount for IFSA Members)

 

 

 

Alternatively we accept a money transfer to our bank account. Please contact for details: sales@sensorsportal.com

 

 

Download <here> the Library Journal Recommendation Form

 

 

 

 

 


1999 - 2014 Copyright , International Frequency Sensor Association (IFSA) Publishing, S.L. 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