Constrained navigation algorithms for strapdown inertial navigation systems with reduced set of sensors

This paper develops a family of algorithms for low-cost strapdown inertial navigation system for land vehicles. Constraints on the motion of land vehicles are defined. They include constraints on vehicle's orientation relative to the Earth surface, and relationship between vehicle's attitude and its velocity direction. Navigation equations are derived that assume validity of these constraints on the vehicle's motion. Compared to standard strapdown inertial navigation, these algorithms reduce navigation errors in the presence of relatively high instrument noise, and at the same reduce number of required inertial sensors. Navigation errors are analyzed and used in an error model for the Kalman filter. Derived algorithms are applied to processing of experimental data.

[1]  P. Daum,et al.  Aided Inertial LAnd NAvigation system (ILANA) with a minimum set of inertial sensors , 1994, Proceedings of 1994 IEEE Position, Location and Navigation Symposium - PLANS'94.

[2]  E.J. Krakiwsky,et al.  AVLN 2000 automatic vehicle location and navigation system , 1989, Conference Record of papers presented at the First Vehicle Navigation and Information Systems Conference (VNIS '89).

[3]  T.W. Lezniak,et al.  A dead reckoning/map correlation system for automatic vehicle tracking , 1977, IEEE Transactions on Vehicular Technology.

[4]  F. Morisue,et al.  Evaluation of location system combining a GPS receiver with inertial sensor , 1991, Vehicle Navigation and Information Systems Conference, 1991.

[5]  M. Murphy,et al.  GPS/dead reckoning for vehicle tracking in the "urban canyon" environment , 1993, Proceedings of VNIS '93 - Vehicle Navigation and Information Systems Conference.