New jump trajectory determination method using low-cost MEMS sensor fusion and augmented observations for GPS/INS integration

GPS Solutions

Volumn 17, Issue 2, 2013, Pages 139-152

  Sadi, Fazle ^a   Klukas, Richard ^a  

^a UNIVERSITY OF BRITISH COLUMBIA   (Canada)

Author keywords

GPS; INS; Jump trajectory; MEMS

Indexed keywords

AIR NAVIGATION; COSTS; DROPS; ERROR COMPENSATION; GLOBAL POSITIONING SYSTEM; INDIUM; INERTIAL NAVIGATION SYSTEMS; INTEGRATION; KALMAN FILTERS; MEMS; MICROELECTROMECHANICAL DEVICES; NAVIGATION; TRAJECTORIES;

DETERMINATION METHODS; GLOBAL POSITIONING SYSTEM RECEIVERS; INERTIAL NAVIGATION UNIT; INTEGRATION ALGORITHM; LINEAR KALMAN FILTERS; MICRO-ELECTRO-MECHANICAL; OBJECTIVE INFORMATION; PERFORMANCE VARIABLES;

SPORTS;

ALGORITHM; COST-BENEFIT ANALYSIS; DETECTION METHOD; ERROR ANALYSIS; ERROR CORRECTION; GPS; INTEGRATED APPROACH; NAVIGATION; OBSERVATIONAL METHOD; PERFORMANCE ASSESSMENT; RECREATIONAL ACTIVITY; SENSOR; SPORT; TRAJECTORY;

EID: 84875381929     PISSN: 10805370     EISSN: 15211886     Source Type: Journal    
DOI: 10.1007/s10291-012-0267-7     Document Type: Article

References (25)

1. Aggarwal P, Syed Z, Noureldin A, El-Sheimy N (2010) MEMS-based integrated navigation. Artech House, Norwood.
2. Bortz J (1971) A new mathematical formulation for strapdown inertial navigation. Aerosp Electron Syst IEEE Transact AES 7(1): 61-66. doi: 10. 1109/TAES. 1971. 310252.
3. Boyd LJ, Ball K, Aughey RJ (2011) The reliability of MinimaxX accelerometers for measuring physical activity in Australian football. Int J Sports Physiol Perform 6(3): 311-321.
4. Diebel J (2006) Representing attitude: Euler angles, unit quaternions, and rotation vectors. Technical report, Stanford University, Stanford, CA 94301-9010.
5. El-Sheimy N, Nassar S, Shin EH, Niu X (2006) Analysis of various Kalman filter algorithms using different inertial navigation systems integrated with the global positioning system. Can Aeronaut Space J 52(2): 59-67.
6. Godha S, Cannon M (2005) Integration of DGPS with a low cost MEMS-based inertial measurement unit (IMU) for land vehicle navigation application. ION GPS-05, September 13-16, 2005, Long Beach, CA.
7. Godha S, Cannon M (2007) GPS/MEMS INS integrated system for navigation in urban areas. GPS Solut 11(3): 193-203.
8. Harding JW, Small JW, James DA (2007a) Feature extraction of performance variables in elite half-pipe snowboarding using body mounted inertial sensors, vol 6799. In: BioMEMS and nanotechnology III, proceedings of SPIE, pp 679917-1-679917-12.
9. Harding JW, Toohey K, Martin DT, Mackintosh CG, Lindh A, James DA (2007b) Automated inertial feedback for half-pipe snowboard competition and the community perception. In: The impact of technology on sport II, pp 845-850.
10. Ignagni M (1994) On the orientation vector differential equation in strapdown inertial systems. Aerosp Electron Syst IEEE Transact AES 30(4): 1076-1081. doi: 10. 1109/7. 328757.
11. Kay SM (1993) Fundamentals of statistical signal processing: estimation theory. Prentice Hall PTR, Upper Saddle River.
12. Larsson P (2003) Global positioning system and sport-specific testing. Sports Med 3(15): 1093-1101.
13. Li Y, Dempster A, Li B, Wang J, Rizos C (2006a) A low-cost attitude heading reference system by combination of GPS and magnetometers and MEMS inertial sensors for mobile applications. J Glob Position Syst 5(1-2): 90-97.
14. Li Y, Wang J, Rizos C, Mumford P, Ding W (2006b) Low-cost tightly coupled GPS/INS integration based on a nonlinear Kalman filtering design. In: Proceedings of the ION NTM.
15. Luinge H, Veltink P (2005) Measuring orientation of human body segments using miniature gyroscopes and accelerometers. Med Biol Eng Comput 43: 273-282. doi: 10. 1007/BF02345966. URL: http://dx. doi. org/10. 1007/BF02345966.
16. Nassar S, El-Sheimy N (2005) A combined algorithm of improving INS error modeling and sensor measurements for accurate INS/GPS navigation. GPS Solut 10: 29-39. doi: 10. 1007/s10291-005-0149-3.
17. Nebot E, Durrant-Whyte H (1999) Initial calibration and alignment of low-cost inertial navigation units for land vehicle applications. J Robot Syst 2(16): 82-92.
18. Rogers RM (2000) Applied mathematics in integrated navigation systems. AIAA education series.
19. Sadi F (2011) Jump parameter estimation with low cost MEMS sensors and GPS for action sports goggles. Master's thesis, School of Engineering, The University of British Columbia.
20. Savage PG (2002) Analytical modeling of sensor quantization in strapdown inertial navigation error equations. J Guid Control Dyn 25: 833-842.
21. Shin EH (2005) Estimation techniques for low-cost inertial navigation. PhD thesis, Department of Geomatics Engineering, University of Calgary, Canada.
22. Titterton DH, Weston JL (2004) Strapdown inertial navigation technology, 2nd edn. The Institution of Electrical Engineers and The American Institute of Aeronautics and Astronautics, OH.
23. Waegli A, Skaloud J (2009) Optimization of two GPS/MEMS-IMU integration strategies with application to sports. GPS Solut 13: 315-326. doi: 10. 1007/s10291-009-0124-5. URL: http://dx. doi. org/10. 1007/s10291-009-01245.
24. Walchko KJ, Mason DPAC (2002) Inertial navigation. In: Proceedings of the 15th annual Florida conference on recent advances in robotics. Florida International University (FIU) in Miami on May 23-24, 2002.
25. Waegli A, Skaloud J, Tome P (2007) Assessment of the integration strategy between GPS and body-worn MEMS sensors with application to sports. The Institute of Navigation ION GNSS 2007, September 25-28, Fort Worth, TX.