The Compensation Effects of Gyros' Stochastic Errors in a Rotational Inertial Navigation System

The errors of an inertial navigation system (INS) in response to gyros' errors can be effectively reduced by the rotation technique, which is a commonly used method to improve an INS's accuracy. A gyro's error consists of a deterministic contribution and a stochastic contribution. The compensation effects of gyros' deterministic errors are clear now, but the compensation effects of gyros' stochastic errors are as yet unknown. However, the compensation effects are always needed in a rotational inertial navigation system's (RINS) error analysis and optimization study. In this paper, the compensation effects of gyros' stochastic errors, which are modelled as a Gaussian white (GW) noise plus a first-order Markov process, are analysed and the specific formulae are derived. During the research, the responses of an INS's and a RINS's position error equations to gyros' stochastic errors are first analysed. Then the compensation effects of gyros' stochastic errors brought by the rotation technique are discussed by comparing the error propagation characteristics in an INS and a RINS. In order to verify the theory, a large number of simulations are carried out. The simulation results show a good consistency with the derived formulae, which can indicate the correctness of the theory.

[1]  Wei Gao,et al.  Analysis of error for a rotating strap-down inertial navigation system with fibro gyro , 2010 .

[2]  Zhao We,et al.  Novel method of improving the alignment accuracy of SINS on revolving mounting base , 2012 .

[3]  Allan Dushman On Gyro Drift Models and Their Evaluation , 1962, IRE Transactions on Aerospace and Navigational Electronics.

[4]  S. A. Zotov,et al.  Sub-degree-per-hour silicon MEMS rate sensor with 1 million Q-factor , 2011, 2011 16th International Solid-State Sensors, Actuators and Microsystems Conference.

[5]  P. Groves Principles of GNSS, Inertial, and Multi-Sensor Integrated Navigation Systems , 2007 .

[6]  Pin Lv,et al.  Noncommutativity Error Analysis of Strapdown Inertial Navigation System under the Vibration in UAVs , 2012 .

[7]  Hiroshi Yoshida,et al.  The Method to Improve the Performance of an Inertial Navigation System Using a Turntable , 2006 .

[8]  Robert L. Hammon An Application of Random Process Theory to Gyro Drift Analysis , 1960, IRE Transactions on Aeronautical and Navigational Electronics.

[9]  Meiping Wu,et al.  An improved computation scheme of strapdown inertial navigation system using rotation technique , 2012 .

[10]  Jianye Liu,et al.  IMPROVED ARITHMETIC OF TWO-POSITION FAST INITIAL ALIGNMENT FOR SINS USING UNSCENTED KALMAN FILTER , 2012 .

[11]  Terry Tucker,et al.  The AN/WSN-7B Marine Gyrocompass/Navigator , 2000 .

[12]  Dan Liao,et al.  Error compensation of an optical gyro INS by multi-axis rotation , 2012 .

[13]  Robert L. Hammon,et al.  Effects on Inertial Guidance Systems of Random Error Sources , 1962, IRE Transactions on Aerospace and Navigational Electronics.

[14]  E. Levinson,et al.  The next generation marine inertial navigator is here now , 1994, Proceedings of 1994 IEEE Position, Location and Navigation Symposium - PLANS'94.

[15]  W. A. Poor Statistical estimation of navigation errors , 1991 .

[16]  Corneliu Rusu,et al.  Using a MEMS gyroscope to measure the Earth’s rotation for gyrocompassing applications , 2012 .

[17]  Mohammed El-Diasty,et al.  Calibration and Stochastic Modelling of Inertial Navigation Sensor Erros , 2008 .

[18]  Yong Yang,et al.  Fiber-optic strapdown inertial system with sensing cluster continuous rotation , 2004 .