Concept of AHRS Algorithm Designed for Platform Independent Imu Attitude Alignment
References
- Cui, X., Mei, C., Qin, Y., Yan, G., & Fu, Q. (2017). In-motion alignment for low-cost SINS/GPS under random misalignment angles. Journal of Navigation, 1-17. doi: 10.1017/S037346331700039X
- Emami, M., & Taban, M. R. (2017). A customized H-infinity algorithm for underwater navigation system: With experimental evaluation. Ocean Engineering, 130(Supplement C), 611 - 619. Retrieved from http://www.sciencedirect.com/science/article/pii/S0029801816305996 doi: https://doi.org/10.1016/j.oceaneng.2016.12.011
- Farrel, J. A. (2008). Aided navigation GPS with high rate sensors. Mc Graw Hill.
- Farrell Jay A., J. W. (2017). GNSS/INS Integration. springer handbook of global navigation satellite systems (S. I. Publishing, Ed.). Springer International Publishing.
- Foxlin, E. (2005). Pedestrian tracking with shoe-mounted inertial sensors. IEEE Comput. Graph. Appl(25(6)), 38-46.10.1109/MCG.2005.140
- Freescale. (2012). Implementing a tilt-compensated eCompass using accelerometer and magnetometer sensors. Freescale Semiconductor Application Note.
- Groves, D. (2008). Principles of GNSS, inertial, and multisensory integrated navigation systems. Artech House.
- Henriksson, M. (2013). Estimation of heading using magnetometer and GPS.
- Li, Z., Wang, J., & Gao, J. (2016). An enhanced GPS/INS integrated navigation system with GPS observation expansion. Journal of Navigation, 69(5), 1041-1060. doi: 10.1017/S0373463315001083
- Nakath David, J. C., & Rachuy, C. (2017). Rigid body attitude control based on a manifold representation of direction cosine matrices. Journal of Physics: Conference Series., 783(1).
- Noureldin, A., Karamat, T., & J.Georgy. (2013). Fundamentals of inertial navigation, satellitebased positioning and their integration. Springer.
- Ozyagcilar, T. (2012). Calibrating an ecompass in the presence of hard and soft-iron interference. Freescale Semiconductor.
- Sabet, M., Daniali, H. M., Fathi, A., & Alizadeh, E. (2017). Experimental analysis of a low-cost dead reckoning navigation system for a land vehicle using a robust AHRS. Robotics and Autonomous Systems, 95(Supplement C), 37 - 51. Retrieved from http://www.sciencedirect.com/science/article/pii/S0921889016307497 doi: https://doi.org/10.1016/j.robot.2017.05.010
- Sasani, J. A.-S. A. R., S.and Asgari. (2016, Jan 01). Improving MEMS-IMU/GPS integrated systems for land vehicle navigation applications. GPS Solutions, 20(1), 89-100. Retrieved from https://doi.org/10.1007/s10291-015-0471-3 doi: 10.1007/s10291-015-0471-3
- Simončič, S., Klobˇcar, D., & Podržaj, P. (2015). Kalman filter based initial guess estimation for digital image correlation. Optics and Lasers in Engineering, 73(Supplement C), 80 - 88. Retrieved from http://www.sciencedirect.com/science/article/pii/S0143816615000330 doi: https://doi.org/10.1016/j.optlaseng.2015.03.001
- Tang Daquan, J. C. G., Yongkang Jiao. (2016). On automatic landing system for carrier plane based on integration of INS, GPS and vision. In Navigation and control conference (cgncc).
- Tomaszewski, D., Rapin´ki, J., & S´mieja, M. (2015). Projekt oraz pierwsze testy zitegrowanej platformy ewaluacyjnej GPS/INS. Logistyka(3), 46-49.
- Tomaszewski, D., Rapi´ nski, J., & ´ Smieja, M. (2015). Analysis of the noise parameters and attitude alignment accuracy of INS conducted with the use of MEMS - based integrated navigation system. Acta Geodynamica et Geomaterialia, 2(12), 197-208.
- Wang, L., Zhang, Z., & Sun, P. (2015). Sun quaternion-based kalman filter for AHRS using an adaptive-step gradient descent algorithm. International Journal of Advanced Robotic Systems(12).
- Woodman, O. (2007). An introduction to inertial navigation (Tech. Rep. No. 696). Cambridge.
- Yadav, N., & Bleakley, C. (2014). Accurate orientation estimation using AHRS under conditions of magnetic distortion. Sensors(14), 20008-20024.10.3390/s141120008
- Yang Ling, e. a. (2016). Seamless pedestrian navigation augmented by walk status detection and context features. In Ubiquitous positioning, indoor navigation and location based services (upinlbs).
Language: English
Page range: 33 - 47
Submitted on: Apr 8, 2016
Accepted on: Sep 26, 2017
Published on: Jan 23, 2018
Published by: Warsaw University of Technology
In partnership with: Paradigm Publishing Services
Publication frequency: 2 issues per year
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© 2018 Dariusz Tomaszewski, Jacek Rapiński, Renata Pelc-Mieczkowska, published by Warsaw University of Technology
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.