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Improving MEMS-IMU/GPS integrated systems for land vehicle navigation applications

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Abstract

The cost of inertial navigation systems (INS) has decreased significantly during recent years using micro-electro-mechanical system technology in production of inertial measurement units (IMUs). However, these IMUs do not provide the accuracy and stability of their classical mechanical counterparts which limit their applications. Hence, the error control of such systems is of the great importance which is achievable using external information via an appropriate fusion algorithm. Traditionally, this external information can be derived from global positioning system (GPS). But it is well known that GPS data availability and accuracy are vulnerable to signal-degrading circumstances and satellite visibility. We introduce a standalone attitude and heading reference system (AHRS) algorithm which employs the IMU and magnetometers data in an averaging manner. The averaging method is different from a simple smoothing procedure, since it takes the rotations of the platform (during the averaging interval) into account. The proposed AHRS solution is further used to provide additional attitude updates with adaptive noise variances for the integrated INS/GPS system during GPS outages via a refined loosely coupled filtering procedure, making the error growth well restrained. Functionality of the algorithm has been assessed via a field test. The results indicate that the proposed procedure outperforms the traditional integration scheme in different situations, while the latter almost loses track of the movements of the vehicle after 60-second GPS outages.

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References

  • Babu R, Wang J (2005) Analysis of INS-derived Doppler effects on carrier tracking loop. J Navig 58(3):493–507. doi:10.1017/S0373463305003309

    Article  Google Scholar 

  • Barbour N, Schmidt G (2001) Inertial sensor technology trends. IEEE Sens J 1(4):332–339. doi:10.1109/7361.983473

    Article  Google Scholar 

  • Brown A, Lu Y (2004) Performance test results of an integrated GPS/MEMS inertial navigation package. In: Proceedings ION GNSS 2004, Institute of Navigation, Long Beach, CA, 21–24 Sept, pp 825–832

  • Chiang KW, Huang YW (2008) An intelligent navigator for seamless INS/GPS integrated land vehicle navigation applications. Appl Soft Comput 8(1):722–733

    Article  Google Scholar 

  • Ellum C, El-Sheimy N (2002) Inexpensive kinematic attitude determination from MEMS-based accelerometers and GPS-derived accelerations. NAVIGATION J Inst Navig 49(3):117–126

    Article  Google Scholar 

  • Farrell J, Barth M (1998) The global positioning system and inertial navigation. McGraw-Hill, New York

    Google Scholar 

  • Finlay CC, Maus S, Beggan CD, Bondar TN et al (2010) International geomagnetic reference field: the eleventh generation. Geophys J Int 183(3):1216–1230. doi:10.1111/j.1365-246x.2010.04804.x

    Article  Google Scholar 

  • Godha S, Cannon ME (2007) GPS/MEMS INS integrated system for navigation in urban areas. GPS Solut 11(3):193–203. doi:10.1007/s10291-006-0050-8

    Article  Google Scholar 

  • Godha S, Lachapelle G, Cannon M E (2006) Integrated GPS/INS system for pedestrian navigation in a signal degraded environment. In: Proceedings ION GNSS 2006, Institute of Navigation, Fort Worth, TX, 26–29 Sept, pp 2151–2164

  • Goodall C, El-Sheimy N, Chiang KW (2005) The development of a GPS/MEMS INS integrated system utilizing a hybrid processing architecture. In: Proceedings ION GNSS 2005, Institute of Navigation, Long Beach, CA, 13–16 Sept, pp 1444–1455

  • Grewal MS, Weill LR, Andrews AP (2007) Global positioning systems, inertial navigation, and integration, 2nd edn. Wiley, Hoboken, New Jersey

    Book  Google Scholar 

  • Han S, Wang J (2008) Monitoring the degree of observability in integrated GPS/INS systems. In: Proceedings international symposium on GPS/GNSS 2008, Tokyo, Japan, 11–14 Nov, pp 414–421

  • Han S, Wang J (2010) A novel initial alignment scheme for low-cost INS aided by GPS for land vehicle applications. J Navig 63(4):663–680. doi:10.1017/s0373463310000214

    Article  Google Scholar 

  • Hide C, Moore T, Smith M (2003) Adaptive Kalman filtering for low-cost INS/GPS. J Navig 56(1):143–152. doi:10.1017/s0373463302002151

    Article  Google Scholar 

  • Hong S, Lee MH, Kwon SH, Chun HH (2004) A car test for the estimation of GPS/INS alignment errors. IEEE Trans Intell Transp Syst 5(3):208–218. doi:10.1109/tits.2004.833771

    Article  Google Scholar 

  • Jekeli C (2001) Inertial navigation systems with geodetic applications. Walter de Gruyter, Berlin

    Book  Google Scholar 

  • Lai YC, Jan SS, Hsiao FB (2010) Development of a low-cost attitude and heading reference system using a three-axis rotating platform. Sensors 10(4):2472–2491. doi:10.3390/s100402472

    Article  Google Scholar 

  • Li Y, Murata M, Sun B (2002) New approach to attitude determination using global positioning system carrier phase measurements. J Guid Control Dyn 25(1):130–136

    Article  Google Scholar 

  • 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 Global Position Syst 5(1–2):88–95

    Article  Google Scholar 

  • 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 ION NTM 2006, Institute of Navigation, Monterey, CA, 18–20 Jan, pp 958–966

  • Li Y, Efatmaneshnik M, Dempster AG (2012) Attitude determination by integration of MEMS inertial sensors and GPS for autonomous agriculture applications. GPS Solut 16(1):41–52. doi:10.1007/s10291-011-0207-y

    Article  Google Scholar 

  • Long Y, Bai S, Patel P, Cappelleri DJ (2011) A low cost attitude and heading reference system based on a MEMS IMU for a T-Quadrotor. In: Proceedings ASME IDETC/CIE 2011, DETC2011-48960, Aug 28–31, 2011. Washington, DC, pp 863–870. doi:10.1115/detc2011-48960

  • Mohamed AH, Schwarz KP (1999) Adaptive Kalman filtering for INS/GPS. J Geod 73(4):193–203. doi:10.1007/s001900050236

    Article  Google Scholar 

  • Nassar S, Syed Z, Niu X, El-Sheimy N (2006) Improving MEMS IMU/GPS systems for accurate land-based navigation applications. In: Proceedings ION NTM 2006, Institute of Navigation, Jan 18–20, 2006. Monterey, CA, pp 523–529

  • Noureldin A, Karamat TB, Eberts MD, El-Shafie A (2009) Performance enhancement of MEMS-based INS/GPS integration for low-cost navigation applications. IEEE Trans Veh Technol 58(3):1077–1096. doi:10.1109/tvt.2008.926076

    Article  Google Scholar 

  • Schwarz KP, El-Sheimy N (2004) Mobile mapping systems—state of the art and future trends. In: Proceedings ISPRS Commission V, vol XXXV, Part B5. Istanbul, pp 759–768

  • Supej M (2010) 3D measurements of alpine skiing with an inertial sensor motion capture suit and GNSS RTK system. J Sports Sci 28(7):759–769. doi:10.1080/02640411003716934

    Article  Google Scholar 

  • Teunissen PJ, Amiri-Simkooei AR (2008) Least-squares variance component estimation. J Geod 82(2):65–82. doi:10.1007/s00190-007-0157-x

    Article  Google Scholar 

  • Wang J, Gao Y (2007) The aiding of MEMS INS/GPS integration using artificial intelligence for land vehicle navigation. IAENG Int J Comput Sci 33(1):61–67

    Google Scholar 

  • Wendel J, Meister O, Schlaile C, Trommer GF (2006) An integrated GPS/MEMS-IMU navigation system for an autonomous helicopter. Aerosp Sci Technol 10(6):527–533. doi:10.1016/j.ast.2006.04.002

    Article  Google Scholar 

  • Wertz JR (1978) Spacecraft attitude determination and control. D. Reidel Publishing Company, Holland

    Book  Google Scholar 

  • Wu Y, Wang T, Liang J, Wang C, Zhang C (2008) Attitude estimation for small helicopter using extended Kalman filter. IEEE Xplore 2008:577–581

    Google Scholar 

  • Zhang X, Li Y, Mumford P, Rizos C (2008) Allan variance analysis on error characters of MEMS inertial sensors for an FPGA-based GPS/INS system. In: Proceedings international symposium on GPS/GNSS 2008, Tokyo, Japan, 11–14 Nov, pp 127–133

  • Zhou J, Edwan E, Knedlik S, Loffeld O (2010) Low-cost INS/GPS with nonlinear filtering methods. In: Proceedings 13th conference on information fusion (FUSION), Edinburgh, UK, 26–29 July, pp 1–8

  • Zhu R, Zhou Z (2009) A small low-cost hybrid orientation system and its error analysis. IEEE Sens J 9(3):223–230. doi:10.1109/jsen.2008.2012196

    Article  Google Scholar 

Download references

Acknowledgments

The authors would like to acknowledge Dr. Mojgan Jadidi from the York University and Dr. Mahmoud Efatmaneshnik from the University of NSW for their generous assistance in this research.

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Authors and Affiliations

  1. Department of Geomatics Engineering, Faculty of Engineering, University of Isfahan, 81746-73441, Isfahan, Iran

    S. Sasani, J. Asgari & A. R. Amiri-Simkooei

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  1. S. Sasani
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  2. J. Asgari
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  3. A. R. Amiri-Simkooei
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Correspondence to S. Sasani.

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Sasani, S., Asgari, J. & Amiri-Simkooei, A.R. Improving MEMS-IMU/GPS integrated systems for land vehicle navigation applications. GPS Solut 20, 89–100 (2016). https://doi.org/10.1007/s10291-015-0471-3

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