2. Ali J., Ullah Baig Mirza M. R. (2010), Performance Comparison among Some Nonlinear Filters for a Low Cost SINS/GPS Integrated Solution, Nonlinear Dynamics, 61, 491-502.10.1007/s11071-010-9665-y
5. Caron F., Duflos E., Pomorski D., Vanheegho P. (2006), GPS/IMU Data Fusion using Multisensor Kalman Filtering: Introduction of Contextual Aspects, Information Fusion, 7, 221-230.10.1016/j.inffus.2004.07.002
7. Franca Junior J. A., Morgado J. A. (2010), Real Time Implementation of a Low-Cost INS/GPS System using xPC Target, Journal of Aerospace Engineering, Sciences and Applications, Vol. 2, No. 310.7446/jaesa.0203.04
9. Gosiewski Z., Ortyl A. (1999), Algorithms of Inertial Guidance System and the Position of the Object of Spatial Motion (in Polish), Scientific Publishers Division of the Institute of Aviation system.
11. Haid M., Breitenbach J. (2004), Low Cost Inertial Orientation Tracking with Kalman Filter, Applied Mathematics and Computation, 153, 567-575.10.1016/S0096-3003(03)00656-8
14. Lee C. R., Salcic Z. (1997), High-performance FPGA-Based Implementation of Kalman Filter, Microprocessors and Microsystems, 21, 257-265.10.1016/S0141-9331(97)00040-9
15. Luo Y., Wu W., He X. (2012), Double-filter Model with Modified Kalman Filter for Baseband Signal Pre-processing with Application to Ultra Tight GPS/INS Integration, GPS Solutions, 16, 463-476.10.1007/s10291-011-0246-4
17. Ning X., Fang J. (2007), An Autonomous Celestial Navigation Method for LEO Satellite Based on Unscented Kalman filter and Information Fusion, Aerospace Science and Technology, 11, 222-228.10.1016/j.ast.2006.12.003
20. Rush J. (2000), Current Issues in the Use of the Global Positioning System Aboard Satellites, Acta Astronautica, 47, 377-387.10.1016/S0094-5765(00)00079-5
21. Shojaei K., Mohammad Shahri A. (2011), Experimental Study of Iterated Kalman Filters for Simultaneous Localization and Mapping of Autonomous Mobile Robots, Journal of Intelligent and Robotic Systems, 63, 575-594.10.1007/s10846-010-9495-7
23.Sun W., Wang D., Xu L., Xu L. (2013), MEMS-Based Rotary Strapdown Inertial Navigation System, Measurement, 46, 2585-259610.1016/j.measurement.2013.04.035
25. Wagner J. F., Kasties G. (2004), Applying the Principle of Integrated Navigation Systems to Estimating the Motion of Large Vehicles, Aerospace Science and Technology, 8, 155-166.10.1016/j.ast.2003.09.006
26. Wendel J., Schlaile C., Trommer G. F. (2001), Direct Kalman Filtering of GPS/INS for Aerospace Applications, International Symposium on Kinematic Systems in Geodesy, Geomatics and Navigation (KIS2001), Canada.