Instantaneous Observability of Tightly Coupled SINS/GPS during Maneuvers

The tightly coupled strapdown inertial navigation system (SINS)/global position system (GPS) has been widely used. The system observability determines whether the system state can be estimated by a filter efficiently or not. In this paper, the observability analysis of a two-channel and a three-channel tightly coupled SINS/GPS are performed, respectively, during arbitrary translational maneuvers and angle maneuvers, where the translational maneuver and angle maneuver are modeled. A novel instantaneous observability matrix (IOM) based on a reconstructed psi-angle model is proposed to make the theoretical analysis simpler, which starts from the observability definition directly. Based on the IOM, a series of theoretical analysis are performed. Analysis results show that almost all kinds of translational maneuver and angle maneuver can make a three-channel system instantaneously observable, but there is no one translational maneuver or angle maneuver can make a two-channel system instantaneously observable. The system’s performance is investigated when the system is not instantaneously observable. A series of simulation studies based on EKF are performed to confirm the analytic conclusions.

[1]  Sinpyo Hong,et al.  Observability Measures and Their Application to GPS/INS , 2008, IEEE Transactions on Vehicular Technology.

[2]  Jan Wendel,et al.  A Performance Comparison of Tightly Coupled GPS/INS Navigation Systems based on Extended and Sigma Point Kalman Filters , 2005 .

[3]  Chris Rizos,et al.  Sigma-Point Kalman Filtering for Tightly Coupled GPS/INS Integration , 2008 .

[4]  Fumio Harashima,et al.  Observability Analysis Techniques on Inertial Navigation Systems , 2012 .

[5]  Zhang Chunxi,et al.  An improved determinant method of observability and its degree analysis , 2013, Proceedings 2013 International Conference on Mechatronic Sciences, Electric Engineering and Computer (MEC).

[6]  S. Haykin,et al.  Cubature Kalman Filters , 2009, IEEE Transactions on Automatic Control.

[7]  Yuanxin Wu,et al.  Observability of Strapdown INS Alignment: A Global Perspective , 2011, IEEE Transactions on Aerospace and Electronic Systems.

[8]  Michael J. Rycroft,et al.  Understanding GPS. Principles and Applications , 1997 .

[9]  Yuanxin Wu,et al.  INS/GPS Integration: Global Observability Analysis , 2009, IEEE Trans. Veh. Technol..

[10]  I. Bar-Itzhack,et al.  Observability analysis of piece-wise constant systems. II. Application to inertial navigation in-flight alignment (military applications) , 1992 .

[11]  I. Rhee,et al.  Observability of an integrated GPS/INS during maneuvers , 2002, IEEE Transactions on Aerospace and Electronic Systems.

[12]  Dayi Wang,et al.  Study on the observability analysis based on the trace of error covariance matrix for spacecraft autonomous navigation , 2013, 2013 10th IEEE International Conference on Control and Automation (ICCA).

[13]  Sinpyo Hong,et al.  Observability of error States in GPS/INS integration , 2005, IEEE Transactions on Vehicular Technology.

[14]  P. Savage STRAPDOWN INERTIAL NAVIGATION INTEGRATION ALGORITHM DESIGN. PART 2: VELOCITY AND POSITION ALGORITHMS , 1998 .

[15]  Young Min Yoo,et al.  A theoretical approach to observability analysis of the SDINS/GPS in maneuvering with horizontal constant velocity , 2012 .

[16]  Jeffrey K. Uhlmann,et al.  Unscented filtering and nonlinear estimation , 2004, Proceedings of the IEEE.

[17]  I. Bar-Itzhack,et al.  Observability analysis of piece-wise constant systems. I. Theory , 1992 .

[18]  Roee Diamant,et al.  Observability Analysis of DVL/PS Aided INS for a Maneuvering AUV , 2015, Sensors.