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INS/Odometer Integration: Positional Approach

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Abstract

The problem of a strapdown inertial navigation system (SINS) integration with an odometer as part of an integrated navigation system is considered. The odometer raw measurement is considered as an increment of the distance traveled along the odometer “measuring” axis. Models of the integration solution components for the case of three-dimensional navigation are presented, among which are the models of inertial autonomous and kinematic odometer dead reckoning (DR), models of relevant error equations, the model of SINS position aiding based on the odometer DR data and using GNSS position and velocity, wherever possible. The models comprise objective components, which do not depend on the type of the inertial sensors used and their accuracy grade, and variable components, which take into account the properties of the navigation sensors used. The integration does not require zero velocity updates, known as ZUPT correction, which are commonly used in navigation application.

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REFERENCES

  1. Boronakhin, A.M., Inertial Methods and Equipment for Measuring Geometric Parameters of Rail Tracks, Cand. Tech. Sci. Dissertation, St. Petersburg, 2002.

  2. Boronakhin, A.M., Gupalov, V.I., and Kazantsev, A.V., Method for aiding the sensor to measure the distance traveled: RF Patent No. 2243505, 2004.

  3. Boronakhin, A.M., Integrated Inertial Technologies for Dynamic Monitoring of Rail Tracks: Dr. Tech. Sci. Dissertation, St. Petersburg, 2013.

  4. Gorbachev, A.Yu., Application of odometers to aid integrated navigation systems, Vestnik MGTU im. N.E. Baumana, Ser. Priborostroenie, no. 4, pp. 37–53, 2009.

  5. Kuznetsov, I.M., Pron’kin, A.N., and Veremeenko, K.K., Navigation complex for an airport vehicle. Electronic journal Trudy MAI, no. 47, 2011.

  6. Andropov, A.V., Improving positioning accuracy of pipeline inspection pigs by using satellite radio navigation systems: Dr. Tech. Sci. Dissertation, Krasnoyarsk, 2006.

  7. Andropov, A.V., Improving positioning accuracy of pipeline inspection pigs by using GLONASS/GPS data, Vestnik SibGAU, Special Issue, pp. 28–35, 2006.

    Google Scholar 

  8. Golovan, A.A., Goritsky, A.Yu., Parusnikov, N.A., and Tikhomirov, V.V., Algorithms of aided inertial navigation systems solving the topographic location problem, Preprint no. 2, Moscow: Moscow State University, 1994.

    Google Scholar 

  9. Panev, A.A., Navigation problem for an inline diagnostic tool, Vestnik moskovskogo universiteta, Mathematics. Mechanics, Moscow: Moscow State University, 2011, pp. 53–56.

    Google Scholar 

  10. Golovan, A.A. and Nikitin, I.V., Combined use of strapdown inertial navigation systems and odometers from the standpoint of mechanics of inertial navigation systems. Part 1. Moscow Univ. Mech. Bull., 2015, 70, pp. 46–49. https://doi.org/10.3103/S0027133015020065

    Article  MATH  Google Scholar 

  11. Golovan, A.A. and Nikitin, I.V., Combined use of strapdown inertial navigation systems and odometers from the standpoint of mechanics of inertial navigation systems. Part 2. Moscow Univ. Mech. Bull., 2015, 70, pp. 101–105. https://doi.org/10.3103/S0027133015040056

    Article  MATH  Google Scholar 

  12. Nikitin, I.V., The problem of land vehicle navigation based on strapdown INS/odometer data fusion, Cand. Tech. Sci. Dissertation, 2015.

  13. Dmitriev, S.P., Inertsial’nye metody v inzhenernoi geodezii (Inertial Methods in Engineering Geodesy), St. Petersburg, CSRI Elektropribor, 1997.

  14. Mal’gin, N.V., Nesterov, I.I., Kutman, A.B., Yaudinov A.Yu., and Malikov N.Sh., A strapdown inertial navigation system M500. Modern systems of orientation, navigation and georeferencing, Oboronnaya tekhnika, Nos. 5–6, 2014, pp. 87–92.

  15. Jacques Georgy, Tashfeen Karamat, Umar Iqbal, and Aboelmagd Noureldin, Enhanced MEMS-IMU/odometer/GPS integration using mixture particle filter, GPS Solutions, 2011, Vol. 15, No. 3, pp. 239–252.

    Article  Google Scholar 

  16. Dragan Obradovic, Henning Lenz, Markus Schupfner, and Kai Heesche, Multimodal Fusion for Car Navigation Systems. Signal Processing Techniques for Knowledge Extraction and Information Fusion, part II, pp. 141–158. Springer US, 2008.

  17. Wankerl, M. and Trommer, G. F., Evaluation of a Segmented Navigation Filter Approach for Vehicle Self-Localization in Urban Environment, Gyroscopy and Navigation, 2014, Vol. 5, No. 2, pp. 98–107.

    Article  Google Scholar 

  18. Jianchen Gao, GPS/INS/G Sensors/Yaw Rate Sensor/Wheel Speed Sensors Integrated Vehicular Positioning System, ION 2006, Fort Worth TX 26–29 Sep., Session E3, 2006.

  19. Libin Zhu and Wei Wang, CDGPS-Based Calibration of Odometer’s Scale Factor with Temperature for Vehicle Navigation System, Proc. 2010 Int. Conf. on Optoelectronics and Image Processing, Vol. 01, November 2010, pp. 317–320.

  20. Elder M. Hemerly and Valter R. Schad, Implementation of a GPS/INS/Odometer navigation system. ABCM Symposium Series in Mechatronics, 2008, Vol. 3, pp. 519–524.

  21. Jaewon Seo, Hyung Keun Lee, Jang Gyu Lee, and Chan Gook Park. Lever Arm Compensation for GPS/INS/Odometer Integrated System, Int. J. Control, Automation, and Systems, 2006, Vol. 4, No. 2, pp. 247–254.

    Google Scholar 

  22. Wang Qingzhe, Fu Mengyin, Xiao Xuan, and Deng Zhihong, Automatic calibration and in-motion alignment of an odometer-aided INS, Control Conference (CCC), 2012, 31st Chinese, pp. 2024–2028.

  23. Wei Jia, Xuan Xiao, and Zhihong Deng, Self-calibration of INS/Odometer Integrated System via Kalman Filter, 2012 IEEE 5th Int. Conf. on Advanced Computational Intelligence (ICACI), pp. 224–228.

  24. Vavilova, N.B., Golovan, A.A., and Parusnikov, N.A., Matematicheskiye osnovy navigatsionnykh system (Mathematical foundations of navigation systems. Mathematical models of inertial navigation), Moscow: Moscow State University, 2020.

  25. Vavilova, N.B., Golovan, A.A., Kozlov, A.V., Nikitin, I.V. et al., A navigation system of a pipeline inspection system for oil and gas pipelines: The results of the development and testing, 22nd St. Petersburg Int. Conf. on Integrated Navigation Systems, St. Petersburg: Elektropribor, 2015, pp. 318–323.

  26. Emel’yantsev, G.I. and Stepanov, A.P. Integrirovannye inertsial’no-sputnikovye sistemy orientatsii i navigatsii (Integrated INS/GNSS orientation and navigation systems), Ed. V.G. Peshekhonov, St.Petersburg: Elektropribor, 2016.

    Google Scholar 

  27. Zorina, O.A., Izmailov, E.A., Kukhtevich, S.E., Portnov, B.I., Fomichev, A.V., Vavilovac, N.B., Golovan, A.A., Papusha, I.A., and Parusnikov, N.A., Enhancement of INS/GNSS Integration Capabilities for Aviation-Related Applications, Gyroscopy and Navigation, 2017, vol. 8, no. 4, pp. 248–258.

    Article  Google Scholar 

  28. Phillips, R.E. and Schmidt, G.T., GPS/INS Integration. In: System Implications and Innovative Applications of Satellite Navigation. AGARD Lecture Series 207, 9, 1–18. Canada Communication Group, Qu’ebec, 1996.

  29. Andreev, V.D., Teoriya inertsial’noi navigatsii (Avtonomnye sistemy) (The Theory of Inertial Navigation. (Autonomous Systems)). Moscow: Nauka, 1966.

  30. Parusnikov, N.A., Morozov, V.M., and Borzov, V.I., Zadacha korrektsii v inertsial’noi navigatsii (Correction Problem in Inertial Navigation), Moscow: Moscow State University, 1982.

  31. Sovremennye metody i sredstva izmerenya parametrov gravitatsionnogo polya Zemli (Modern Technologies and Methods for Measuring the Earth’s Gravity Field Parameters), Eds., V.G. Peshekhonov, O.A. Stepanov, St. Petersburg, Concern CSRI Elektropribor, JSC, 2017.

  32. Vavilova, N.B., Vyaz’min, V.S., and Golovan, A.A., Development of a Low-Cost INS/GNSS/Odometer Integration Algorithm for a Road Surface Testing Laboratory Software, 26th St. Petersburg Int. Conf. on Integrated Navigation Systems, St. Petersburg: Elektropribor, 2019.

  33. Vavilova, N., Golovan, A., and Kozlov, A., et al. Impact of antenna displacement and time delays of GNSS solutions on the INS-GNSS Complex Data Fusion Algorithm, 27th St. Petersburg Int. Conf. on Integrated Navigation Systems, St. Petersburg: Elektropribor, 2020.

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Funding

This work was supported by the Russian Foundation for Basic Research, project no. 19-01-00179 .

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  1. Lomonosov Moscow State University, Moscow, Russia

    A. A. Golovan

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  1. A. A. Golovan
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Correspondence to A. A. Golovan.

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The paper is based on presentation made at the 13th Multicoference on Control Problems, Saint Petersburg, 2020.

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Golovan, A.A. INS/Odometer Integration: Positional Approach. Gyroscopy Navig. 12, 186–194 (2021). https://doi.org/10.1134/S2075108721020048

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