REFERENCES
- ↵Chang, L., Li, J., & Li, K. (2016). Optimization-based alignment for strapdown inertial navigation system: comparison and extension. IEEE Transactions on Aerospace and Electronic Systems. 52(4), 1697–1713. https://doi.org/10.1109/TAES.2016.130824
- ↵Chen, Y., Li, W., & Wang, Y. (2021). A robust adaptive indirect in-motion coarse alignment method for GPS/SINS integrated navigation system. Measurement. 172, 108834. https://doi.org/10.1016/j.measurement.2020.108834
- ↵Dmitriyev, S. P., Stepanov, O. A., & Shepel, S. V. (1997). Nonlinear filtering methods application in INS alignment. IEEE Transactions on Aerospace and Electronic Systems, 33(1), 260–272. https://doi.org/10.1109/7.570762
- ↵Geng, Y., & Wang, J. (2008). Adaptive estimation of multiple fading factors in Kalman filter for navigation applications. GPS Solutions. 12(4), 273–279. https://doi.org/10.1007/s10291-007-0084-6
- ↵Han, S., & Wang, J. (2010). A novel initial alignment scheme for low-cost INS aided by GPS for land vehicle applications. Journal of Navigation. 63(4), 663–680. https://doi.org/10.1017/S0373463310000214
- ↵Kaygisiz, B. H., & Şen, B. (2014). In-motion alignment of a low-cost GPS/INS under large yaw error. Journal of Navigation. 68(2), 355–366. https://doi.org/10.1017/S0373463314000629
- ↵Kong, X., Nebot, E. M., & Durrant-Whyte, H. (1999). Development of a nonlinear psi-angle model for large misalignment errors and its application in INS alignment and calibration. Proc. of IEEE International Conference on Robotics and Automation, Detroit, MI, 1430–1435. https://doi.org/10.1109/ROBOT.1999.772561
- ↵Li, W., & Wang, J. (2012). Effective adaptive Kalman filter for MEMS-IMU/magnetometers integrated attitude and yaw reference systems. Journal of Navigation, 66(1), 99–113. https://doi.org/10.1017/S0373463312000331
- ↵Li, Y., Niu, X., Cheng, Y., Shi, C., & El-Sheimy, N. (2015). The impact of vehicle maneuvers on the attitude estimation of GNSS/INS for mobile mapping. Journal of Applied Geodesy, 9(3), 183–197. https://doi.org/10.1515/jag-2015-0002
- ↵Pham, T. M. (1991). Kalman filter mechanization for INS airstart. Proc. of IEEE/AIAA 10th Digital Avionics Systems Conference, Los Angeles, CA, 516–525. https://doi.org/10.1109/DASC.1991.177219
- ↵Qi, N., & Pengfei, Z. (2015). SINS in-motion alignment for initial attitude uncertainty. Proc. of IEEE 5th International Conference on Instrumentation and Measurement, Computer, Communication and Control, Qinhuangdao, China, 200–203. https://doi.org/10.1109/IMCCC.2015.49
- ↵Rhee, I., Abdel-Hafez, M. F., & Speyer, J. L. (2004). Observability of an integrated GPS/INS during maneuvers. IEEE Transactions on Aerospace and Electronic Systems, 40(2), 526–535. https://doi.org/10.1109/TAES.2004.1310002
- ↵Rogers, R. M. (1997). IMU in-motion alignment without benefit of attitude initialization. NAVIGATION, 44(3), 301–311. https://doi.org/10.1002/j.2161-4296.1997.tb02349.x
- ↵Shin, E. -H., & El-Sheimy, N. (2004). An unscented Kalman filter for in-motion alignment of low-cost IMUs. Proc. of IEEE Position, Location, and Navigation Symposium (PLANS 2004), Monterey, CA, 273–279. https://doi.org/10.1109/PLANS.2004.1309005
- ↵Simon, D. (2006). Optimal state estimation: Kalman, H∞, and nonlinear approaches. John Wiley & Sons Inc. https://doi.org/10.1002/0470045345
- ↵Syed, Z. F., Aggarwal, P., Niu, X., & El-Sheimy, N. (2008). Civilian vehicle navigation: required alignment of the inertial sensors for acceptable navigation accuracies. IEEE Transactions on Vehicular Technology, 57(6), 3402–3412. https://doi.org/10.1109/TVT.2008.921616
- ↵Tsukerman, A., & Klein, I. (2018). Analytic evaluation of fine alignment for velocity aided INS. IEEE Transactions on Aerospace and Electronic Systems. 54(1), 376–384. https://doi.org/10.1109/TAES.2017.2760520
- ↵Wang, K., Xu, X., Gao, W., & Wang, J. (2020). Linearized in-motion alignment for a low-cost INS. IEEE Transactions on Aerospace and Electronic Systems. 56(3), 1917–1925. https://doi.org/10.1109/TAES.2019.2936780
- ↵Wei, M., & Schwarz, K. P. (1990). A strapdown inertial algorithm using an Earth-fixed Cartesian frame. NAVIGATION, 37(2), 153–167. https://doi.org/10.1002/j.2161-4296.1990.tb01544.x
- ↵Wu, Y., & Pan, X. (2013). Velocity/position integration formula part I: application to in-flight coarse alignment. IEEE Transactions on Aerospace and Electronic Systems, 49(2), 1006–1023. https://doi.org/10.1109/TAES.2013.6494395
- ↵Wu, Y., Wang, J., & Hu, D. (2014). A new technique for INS/GNSS attitude and parameter estimation using online optimization. IEEE Transactions on Signal Processing, 62(10), 2642–2655. https://doi.org/10.1109/TSP.2014.2312317
- ↵Xie, B., Jiang, Y. F., Yan, G. M., & Chen, Y. (2014). Indirect fine-alignment algorithm of in-motion SINS based on ECEF-frame. Journal of Chinese Inertial Technology, 22(5), 593–596. https://doi.org/10.13695/j.cnki.12-1222/o3.2014.05.007
- ↵Yu, M. -J., Lee, J. G., & Park, H. -W. (1999). Comparison of SDINS in-flight alignment using equivalent error models. IEEE Transactions on Aerospace and Electronic Systems, 35(3), 1046–1054. https://doi.org/10.1109/7.784073
- ↵Yu, M. -J., Park, H. -W., & Jeon, C. -B. (1997). Equivalent nonlinear error models of strapdown inertial navigation system. Proc. of Guidance, Navigation, and Control Conference, New Orleans, LA, 581–587. https://doi.org/10.2514/6.1997-3563
- ↵Zhong, M., Guo, J., & Zhou, D. (2018). Adaptive in-flight alignment of INS/GPS systems for aerial mapping. IEEE Transactions on Aerospace and Electronic Systems, 54(3), 1184–1196. https://doi.org/10.1109/TAES.2017.2776058





