A novel Kalman filter with state constraint approach for the integration of multiple pedestrian navigation systems

Micromachines

Volumn 6, Issue 7, 2015, Pages 926-952

  Lan, Haiyu ^a,b   Yu, Chunyang ^a   Zhuang, Yuan ^a   Li, You ^a,c   El Sheimy, Naser ^a  

^a UNIVERSITY OF CALGARY   (Canada)

^b HARBIN ENGINEERING UNIVERSITY   (China)

^c WUHAN UNIVERSITY   (China)

Author keywords

Inertial navigation system (INS); Kalman filter; Pedestrian dead reckoning (PDR); Pedestrian navigation system (PNS); State constraint

Indexed keywords

BANDPASS FILTERS; CONSTRAINT THEORY; INERTIAL NAVIGATION SYSTEMS; INFORMATION FILTERING; INTELLIGENT SYSTEMS; KALMAN FILTERS; MACHINERY; MECHANIZATION; MONTE CARLO METHODS; NAVIGATION;

CONSTRAINT INFORMATION; INERTIAL NAVIGATION SYSTEMS (INS); NAVIGATION IN FORMATION; NONLINEAR INEQUALITY CONSTRAINTS; PEDESTRIAN DEAD RECKONING (PDR); PEDESTRIAN DEAD RECKONING MECHANIZATIONS; PEDESTRIAN NAVIGATION SYSTEMS; STATE CONSTRAINTS;

AIR NAVIGATION;

EID: 84946405084     PISSN: None     EISSN: 2072666X     Source Type: Journal    
DOI: 10.3390/mi6070926     Document Type: Article

References (36)

1. Rantakokko, J.; Strömbäck, P.; Emilsson, E.; Rydell, J. Soldier Positioning in Gnss-Denied Operations. In Proceedings of the Sensors and Electronics Technology Panel Symposium (SET-168) on Navigation Sensors and Systems in GNSS Denied Environments, Izmir, Turkey, 8-9 October 2012.
2. Hepsaydir, E. Mobile Positioning in CDMA Cellular Networks. In Proceedings of the 50th Vehicular Technology Conference, Amsterdam, The Netherlands, 19-22 September 1999; pp. 795-799.
3. Yamamoto, R.; Matsutani, H.; Matsuki, H.; Oono, T.; Ohtsuka, H. Position Location Technologies Using Signal Strength in Cellular Systems. In Proceedings of the 53rd Vehicular Technology Conference, Mexico City, Mexico, 6-9 May 2001; pp. 2570-2574.
4. Hari, K.; Nilsson, J.-O.; Skog, I.; Händel, P.; Rantakokko, J.; Prateek, G. A prototype of a first-responder indoor localization system. J. Indian Inst. Sci. 2013, 93, 511-520.
5. Ruiz, A.R.J.; Granja, F.S.; Honorato, J.C.P.; Rosas, J.I.G. Accurate pedestrian indoor navigation by tightly coupling foot-mounted IMU and RFID measurements. IEEE Trans. Instrum. Meas. 2012, 61, 178-189.
6. Li, Y.; Zhuang, Y.; Lan, H.; Zhang, P.; Niu, X.; El-Sheimy, N. Wifi-aided magnetic matching for indoor navigation with consumer portable devices. Micromachines 2015, 6, 747-764.
7. Shin, E.-H. Estimation Techniques for Low-Cost Inertial Navigation; UCGE Report No. 20219; University of Calgary: Calgary, Canada, 2005.
8. Foxlin, E. Pedestrian tracking with shoe-mounted inertial sensors. IEEE Computer Graph. Appl. 2005, 25, 38-46.
9. Nilsson, J.-O.; Skog, I.; Händel, P. A Note on the Limitations of Zupts and the Implications on Sensor Error Modeling. In Proceeding of the 2012 International Conference on Indoor Positioning and Indoor Navigation, Sydney, Australia, 13-15 November 2012.
10. Jirawimut, R.; Ptasinski, P.; Garaj, V.; Cecelja, F.; Balachandran, W. A method for dead reckoning parameter correction in pedestrian navigation system. IEEE Trans. Instrum. Meas. 2003, 52, 209-215.
11. Mezentsev, O.; Collin, J.; Lachapelle, G. Pedestrian dead reckoning-A solution to navigation in GPS signal degraded areas? Geomatica 2005, 59, 175-182.
12. Lan, H.; Yu, C.; El-Sheimy, N. An Integrated PDR/GNSS Pedestrian Navigation System. In China Satellite Navigation Conference (CSNC) 2015 Proceedings: Volume III; Springer-Verlag: Berlin, Germany, 2015; pp. 677-690.
13. Gabaglio, V.; Ladetto, Q.; van Seeters, J. Pedestrian Navigation Method and Apparatus Operative in a Dead Reckoning Mode. U.S. Patent No. 6,826,477, 23 April 2001.
14. Beauregard, S.; Haas, H. Pedestrian dead reckoning: A basis for personal positioning. In Proceedings of the 3rd Workshop on Positioning, Navigation and Communication, Hannover, Germany, 16 March 2006; pp. 27-35.
15. Renaudin, V.; Susi, M.; Lachapelle, G. Step length estimation using handheld inertial sensors. Sensors 2012, 12, 8507-8525.
16. Chang, H.-W.; Georgy, J.; El-Sheimy, N. Techniques for 3D Misalignments Calculation for Portable Devices in Cycling Applications. In Proceedings of the 26th International Technical Meeting of The Satellite Division of the Institute of Navigation (ION GNSS+ 2013), Nashville, TN, USA, 16-20 September 2013; pp. 2862-2867.
17. Omr, M.; Georgy, J.; Noureldin, A. Using Multiple Sensor Triads for Enhanced Misalignment Estimation for Portable and Wearable Devices. In Proceedings of the Position, Location and Navigation Symposium, Monterey, CA, USA, 5-8 May 2014; pp. 1146-1154.
18. Zhuang, Y.; Lan, H.; Li, Y.; El-Sheimy, N. PDR/INS/WiFi integration based on handheld devices for indoor pedestrian navigation. Micromachines 2015, 6, 793-812.
19. Lan, H.; El-Sheimy, N. A State Constraint Kalman Filter for Pedestrian Navigation with Low Cost Mems Inertial Sensors. In Proceedings of the 27th International Technical Meeting of The Satellite Division of the Institute of Navigation, Tampa, FL, USA, 8-12 September 2014; pp. 579-589.
20. Brand, T.J.; Phillips, R.E. Foot-to-Foot Range Measurement as an Aid to Personal Navigation. In Proceedings of the 59th Annual Meeting of The Institute of Navigation and CIGTF 22nd Guidance Test Symposium, Albuquerque, NM, USA, 23-25 June 2003; pp. 113-121.
21. Bancroft, J.B. Multiple Inertial Measurement Unit Integration for Pedestrian Navigation; UCGE Report No. 20320; University of Calgary: Calgary, Canada, 2010.
22. Skog, I.; Nilsson, J.-O.; Zachariah, D.; Handel, P. Fusing the Information from Two Navigation Systems Using an Upper Bound on Their Maximum Spatial Separation. In Proceedings of the Indoor Positioning and Indoor Navigation, Sydney, Australia, 13-15 November 2012; pp. 1-5.
23. Laverne, M.; George, M.; Lord, D.; Kelly, A.; Mukherjee, T. Experimental Validation of Foot to Foot Range Measurements in Pedestrian Tracking. In Proceedings of the 24th International Technical Meeting of The Satellite Division of the Institute of Navigation, Portland, OR, USA, 20-23 September 2011.
24. Zampella, F.; De Angelis, A.; Skog, I.; Zachariah, D.; Jiménez, A. A Constraint Approach for UWB and PDR Fusion. In Proceedings of the International Conference on Indoor Positioning and Indoor Navigation, Sydney, NSW, Australia, 13-15 November 2012.
25. Simon, D.; Chia, T.L. Kalman filtering with state equality constraints. IEEE Trans. Aerosp. Electron. Syst. 2002, 38, 128-136.
26. Anderson, B.D.; Moore, J.B. Optimal Filtering; Courier Dover Publications: Mineola, NY, USA, 2012.
27. Fletcher, R. Practical Methods of Optimization; John Wiley & Sons: Hoboken, NJ, USA, 2013.
28. Sun, F.; Lan, H.; Yu, C.; El-Sheimy, N.; Zhou, G.; Cao, T.; Liu, H. A robust self-alignment method for ship's strapdown ins under mooring conditions. Sensors 2013, 13, 8103-8139.
29. El-Sheimy, N. Inertial Techniques and INS/DGPS Integration. In Engo 623-Course Notes; University of Calgary: Calgary, Canada, 2003; pp. 170-182.
30. Noureldin, A.; Karamat, T.B.; Georgy, J. Fundamentals of Inertial Navigation, Satellite-based Positioning and Their Integration; Springer-Verlag: Berlin, Germany, 2013.
31. Fischer, C.; Talkad Sukumar, P.; Hazas, M. Tutorial: Implementation of a pedestrian tracker using foot-mounted inertial sensors. IEEE Pervasive Comput. 2012, 12, 17-27.
32. Jimenez, A.R.; Seco, F.; Prieto, J.C.; Guevara, J. Indoor Pedestrian Navigation Using an INS/EKF framework for Yaw Drift Reduction and a Foot-Mounted IMU. In Proceedings of the 2010 7th Workshop on Positioning Navigation and Communication, Dresden, Germany, 11-12 March 2010; pp. 135-143.
33. Godha, S.; Lachapelle, G. Foot mounted inertial system for pedestrian navigation. Meas. Sci. Technol. 2008, 19, 075202.
34. Skog, I.; Handel, P.; Nilsson, J.-O.; Rantakokko, J. Zero-velocity detection-An algorithm evaluation. IEEE Trans. Biomed. Eng. 2010, 57, 2657-2666.
35. Bao, H.; Wong, W.-C. A novel map-based dead-reckoning algorithm for indoor localization. J. Sens. Actuator Netw. 2014, 3, 44-63.
36. Gabaglio, V.; Ladetto, Q.; Merminod, B. Kalman filter approach for augmented GPS pedestrian navigation. Available online: http://quentin.ladetto.ch/publications/kalapproach.pdf (accessed on 12 July 2015).