Abstract
Beidou or COMPASS is a Chinese GNSS (global navigation satellite system). Like the GPS receiver, the COMPASS receiver also faces the challenge of choosing an optimal bandwidth to satisfy both anti-jamming capability and dynamics adaptation simultaneously. GPS/INS (inertial navigation system) deep integrated navigation system has solved this problem by fusing GPS baseband signal and INS information in a deeply coupled mode. In this study, a COMPASS B3 frequency is considered and a traditional federated GPS/INS deep integration model is used to derive a single-filter-structure based COMPASS/INS deep integration model. Besides, a double-filter-structure based COMPASS/INS deep integration model is proposed. The simulation results show a better carrier tracking performance, especially a better dynamics adaptation. The impact of IMU errors and vehicle’s dynamics on carrier tracking performance of the double-filter-structure based COMPASS/INS deep integrated navigation system are evaluated in simulated and field environments. Simulation and field test results are in accordance with the theory analysis.
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References
Gao X X, Chen A, Lo S, et al. Compass-M1 broadcast codes in E2, E5b, and E6 frequency bands. IEEE J Sel Top Signal Process, 2009, 3: 599–612
Gao X X, Chen A, Lo S, et al. Compass-M1 broadcast codes and their application to acquisition and tracking. In: Proceedings of the Institute of Navigation National Technical Meeting 2008 (ION NTM 2008), San Diego, 2008
Babu R, Wang J L. Ultra-tight GPS/INS/PL integration: a system concept and performance analysis. GPS Solut, 2009, 13: 75–82
Bernal D, Closas P, Rubio J A F. Particle filtering algorithm for ultra-tight GNSS/INS integration. In: Proceedings of the 21st International Technical Meeting of the Satellite Division of the Institute of Navigation (ION GNSS 2008), Savannah, 2008. 2137–2144
Sivananthan S, Weitzen J. Improving optimality of deeply coupled integration of GPS and INS. In: Proceedings of the 22nd International Technical Meeting of the Satellite Division of the Institute of Navigation, (ION GNSS 2009), Anaheim, 2009. 426–429
Petovello M, Lachapelle G. Comparison of vector-based sofware receiver implementations with application to ultratight GPS/INS integration. In: Proceedings of the 19th International Technical Meeting of the Satellite Division of the Institute of Navigation (ION GNSS 2006), Fort Worth, 2006. 1790–1799
Paul D G, Christopher J M, Alex A M. Demonstration of non-coherent deep INS-GPS integration for optimised signal-to-noise performance. In: Proceedings of the 19th International Technical Meeting of the Satellite Division of the Institute of Navigation (ION GNSS 2006), Fort Worth, 2006. 2627–2638
Petovello M G, O’Driscoll C, Lachapelle G. Weak signal carrier tracking using extended coherent integration with an ultra-tight GNSS/IMU receiver. In: European Navigation Conference, Toulouse, 2008
Sun D. Ultra-tight GPS/reduced IMU for land vehicle navigation. http://www.geomatics.ucalgary.ca/graduateheses, 2010
Sun D, Petovello M G, Cannon M E. Use of a reduced IMU to aid a GPS receiver with adaptive tracking loops for land vehicle navigation. GPS Solut, 2010, 14: 319–329
Luo Y, Babu R, Wu W Q, et al. Double-filter model with modified Kalman filter for baseband signal pre-processing with application to ultra-tight GPS/INS integration. GPS Solut, 2012, 16: 463–476
Ernest J. Ohlmeyer. Analysis of an ultra-tightly coupled GPS/INS system in jamming. In: IEEE/ION Position, Location, And Navigation Symposium, San Diego, 2006. 44–53
Groves P D. Principle of GNSS, Inertial, and Multisensor Integrated Navigation Systems. Norwood: Artech House, Inc., 2008
Dong X R, Zhang S X, Hua Z C. GPS/INS Integrated Navigation Positioning and Applications (in Chinese). Changsha: National University of Defense Technology Press, 1998
Babu R, Wang J L. Comparative study of interpolation techniques for ultra-tight integration of GPS/INS/PL sensors. J Glob Position Syst, 2005, 4: 192–200
Luo Y, Wu W Q, He X F, et al. Doppler interpolation method based on extrapolation and CIC filter. J Chin Inert Technol, 2011, 19: 64–68
Carlson N A. Federated filter for distributed navigation and tracking appliactions. In: Proceedings of the 58th Annual Meeting of the Institute of Navigation and CIGTF 21st Guidance Test Symposium, Albuquerque, 2002. 340–353
Ziedan N I. GNSS Receivers for Weak Signals. Norwood: Artech House, Inc., 2006
Borre K, Akos D M, Bertelsen N, et al. A Software-Defined GPS and GALILEO Receiver: A Single-Frequency Approach. Boston: Birkhauser, 2007
Van Dierendonck A J. GPS receivers. In: Parkinson B W, Spilker J J, eds. Global Positioning System: Theory and Applications, Vol 1. Washington DC. American Institute of Aeronautics and Astronautics, Inc., 1996. 329–408
Haykin S, Veen B V. Signals and Systems. 2nd ed. New York: John Wiley & Sons, Inc., 2003
Su X, Xu X B. Software Radio Principle and Technology (in Chinese). Beijing: Posts & Telecomm Press, 2010
Stephens S A, Thomas J B. Controlled-root formulation for digital phase-locked loops. IEEE Trans Aerosp Electron Syst, 1995, 31: 78–95
Ng L C, Pines D J. Characterization of ring laser gyro performance using the Allan variance method. J Guid Control Dyn, 1996, 20: 211–214
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Luo, Y., Wu, W., Babu, R. et al. A double-filter-structure based COMPASS/INS deep integrated navigation system implementation and tracking performance evaluation. Sci. China Inf. Sci. 57, 1–14 (2014). https://doi.org/10.1007/s11432-012-4723-3
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DOI: https://doi.org/10.1007/s11432-012-4723-3