Swarm optimization-based magnetometer calibration for personal handheld devices

Sensors (Switzerland)

Volumn 12, Issue 9, 2012, Pages 12455-12472

  Ali, Abdelrahman ^a   Siddharth, Siddharth ^a   Syed, Zainab ^b   El Sheimy, Naser ^a  

^a UNIVERSITY OF CALGARY   (Canada)

^b Invensense Inc   (United States)

Author keywords

Algorithms; Artificial intelligence; Measurement; Navigation; Sensor; Systems

Indexed keywords

CALIBRATION ALGORITHM; EARTH'S MAGNETIC FIELD; IN-DOOR NAVIGATIONS; INERTIAL NAVIGATION SYSTEMS (INS); MAGNETOMETER CALIBRATION; MANUFACTURING DEFECTS; PEDESTRIAN NAVIGATION; POSITION AND ORIENTATIONS;

ACCELEROMETERS; ALGORITHMS; ARTIFICIAL INTELLIGENCE; COMPUTER SYSTEMS; COST BENEFIT ANALYSIS; GYROSCOPES; INERTIAL NAVIGATION SYSTEMS; LOCATION BASED SERVICES; MAGNETIC FIELDS; MAGNETOMETERS; MEASUREMENTS; NAVIGATION; PARTICLE SWARM OPTIMIZATION (PSO); SENSORS;

CALIBRATION;

EID: 84867032765     PISSN: 14248220     EISSN: None     Source Type: Journal    
DOI: 10.3390/s120912455     Document Type: Article

References (24)

1. Kwon, W.; Roh, K.-S.; Sung, H.-K. Particle Filter-Based Heading Estimation Using Magnetic Compasses for Mobile Robot Navigation. In Proceedings of the 2006 IEEE International Conference on Robotics and Automation, Orlando, FL, USA, 15-19 May 2006.
2. Guo, P.; Qiu, H.; Yang, Y.; Ren, Z. The Soft Iron and Hard Iron Calibration Method Using Extended Kalman Filter for Attitude and Heading Reference System. In Proceedings of IEEE/ION PLANS, Monterey, CA, USA, 6-8 May 2008; pp. 1167-1174.
3. Crassidis, J.L.; Lai, K.L.; Harman, R.R. Real Time Attitude-Independent Three Axis Magnetometer Calibration. J. Guidance Control 2005, 28, 115-120.
4. Gebre-Egziabher, D.; Elkaim, G.H. Calibration of Strapdown Magnetometers in Magnetic Field Domain. ASCE J. Aerospace Eng. 2006, 19, 6-16.
5. Siddharth, S.; Ali, A.S.; Goodall, C.L.; El-Sheimy, N. Investigating Aspects of Heading Estimation Error in Pedestrian Navigation. In Proceedings of the International Technical Meeting of The Institute of Navigation, San Diego, CA, USA, 24-26 January 2011; pp. 635-642.
6. Borenstein, J.; Everett, H.R.; Feng, L. Where am I? Sensors and Methods for Mobile Robot Positioning; Technical Report; University of Michigan: Ann Arbor, MI, USA, 1996.
7. Kaniewski, P.; Kazubek, J. Design and Prototype of Heading Reference System. In Proceedings of ENC-GNSS' 09, Naples, Italy, 3-6 May 2009.
8. Reeves, C.R. Modern Heuristic Techniques for Combinatorial Problems; Blackwell Scientific Publications: Oxford, UK, 1993.
9. Liu, Y.; Passino, K.M. Swarm Intelligence: Literature Overview. Available online: http://www2.ece.ohio-state.edu/~passino/swarms.pdf (accessed on 20 March 2012).
10. Kennedy, J.; Eberhart, R. Particle Swarm Optimization. In Proceedings of IEEE International Conference on Neural Networks (ICNN), Perth, Australia, 27 November-1 December 1995; pp. 1942-1948.
11. Wang, Q.; Xie, L.; Liu, J.; Xiang, Z. Enhancing Particle Swarm Optimization Based Particle Filter Tracker. Lect. Notes Comput. Sci. 2006, 4114, 1216-1221.
12. Alonso, R.; Shuster, M. Complete Linear Attitude-Independent Magnetometer Calibration. J. Astronaut. Sci. 2002, 50, 477-490.
13. Parsopoulos, K.E.; Vrahatis, M.N. Particle Swarm Optimization and Intelligence: Advances and Applications; Information Science Publishing (IGI Global): Hershey, PA, USA, 2010.
14. Kennedy, J.; Eberhart, R.; Shi, Y. Swarm Intelligence; Morgan and Kauffman: San Francisco, CA, USA, 2001.
15. Hernane, Y.; Hernane, S.; Benyettou, M. PFPSO: An Optimised Filtering Approach Based on Sampling. J. Appl. Sci. 2010, 10, 494-499.
16. Elbeltagi, E.; Hegazy, T.; Grierson, D. Comparison among Five Evolutionary-Based Optimization Algorithms. Adv. Eng. Inform. 2005, 19, 43-53.
17. Rajini, A.; David, V. Constructing Models for Microarray Data with Swarm Algorithms. Int. J. Comput. Sci. Inform. Secur. 2010, 8, 237-242.
18. Havangi, R.; Nekoui, M.A.; Teshnehlab, M. A Multi Swarm Particle Filter for Mobile Robot Localization. Int. J. Comput. Sci. Inform. Secur. 2010, 7, 15-22.
19. Li, C.; Layak, A. Integrated Learning Particle Swarm Optimizer for Global Optimization. Appl. Soft Comput. 2010, 11, 18-23.
20. Liang, J.J.; Qin, A.K.; Suganthan, P.N.; Baskar, S. Comprehensive Learning Particle Swarm Optimizer for Global Optimization of Multimodal Functions. IEEE Trans. Evol. Comput. 2006, 10, 281-295.
21. Dian, P.R.; Siti, M.S.; Siti, S.Y. Particle Swarm Optimization: Technique, System and Challenges. Int. J. Comput. Appl. 2011, 14, 19-27.
22. Bai, Q. Analysis of Particle Swarm Optimization Algorithm. J. Comput. Inform. Sci. 2010, 3, 180-184.
23. Davoud, S.; Ellips, M. Particle Swarm Optimization: Methods, Taxonomy and Applications. Int. J. Comput. Theory Eng. 2009, 1, 1793-8201.
24. Blum, C.; Li, X. Swarm Intelligence in Optimization. In Swarm Intelligence: Introduction and Applications; Blum, C., Merkle, D., Eds.; Springer: Berlin, Germany, 2008; pp. 43-85.