Innovation-based fractional order adaptive Kalman filter

[1] M. S. Grewal, A. P. Andrews Kalman Filtering: Theory and Practice with MATLAB, John Wiley and Sons, Ltd, 2014.10.1002/9781118984987Search in Google Scholar

[2] R. E. Kalman, “A new approach to linear filtering and prediction problems”, ASME, J. Basic Eng., vol. 84, no. 1, pp. 35-45, 1960.10.1115/1.3662552Search in Google Scholar

[3] A. Yadav, P. Awasthi, N. Naik, and M. R. Ananthasayanam, “A constant gain Kalman filter approach to track maneuvering targets”, 2013 IEEE International Conference on Control Applications (CCA) pp. 562-567, August 2013.10.1109/CCA.2013.6662809Search in Google Scholar

[4] R. Mehra, “Approaches to adaptive filtering”, IEEE Transactions on Automatic Control, vol. 17, pp. 693–698, October 1972.10.1109/TAC.1972.1100100Search in Google Scholar

[5] A. H. Mohamed and K. P. Schwarz, “Adaptive Kalman filtering for INS/GPS”, Journal of Geodesy, vol. 73, pp. 193-203, May 1999.10.1007/s001900050236Search in Google Scholar

[6] F. Xu, Y. Su, and H. Liu, “Research of optimized adaptive Kalman filtering”, The 26th Chinese Control and Decision Conference (2014 CCDC), pp. 1210–1214, May 2014.Search in Google Scholar

[7] B. Hongwei, J. Zhihua, and T. Weifeng, “IAE adaptive Kalman filter for INS/GPS integrated navigation system”, Journal of Systems Engineering and Electronics, vol. 17, pp. 502-508, 2006.10.1016/S1004-4132(06)60086-8Search in Google Scholar

[8] F. Jian-Cheng and Y. Sheng, “Study on innovation adaptive EKF for in-flight alignment of airborne pos”, IEEE Transactions on Instrumentation and Measurement, vol. 60, pp. 1378-1388, April 2011.Search in Google Scholar

[9] W. Gao, J. Li, Y. Zhang, G. Wang, and X. Sun, “Improved innovation-based adaptive estimation for measurement noise uncertainty in SINS/GNSS integration system”, 2017 Forum on Cooperative Positioning and Service, CPGPSiijL, pp. 22-28, May 2017.10.1109/CPGPS.2017.8075091Search in Google Scholar

[10] S. K. Rao, “Modified gain extended Kalman filter with application to bearings-only passive maneuvering target tracking”, IEE Proceedings - Radar, Sonar and Navigation, vol. 152, pp. 239-244, August 2005.10.1049/ip-rsn:20045074Search in Google Scholar

[11] S.-K. Weng, C.-M. Kuo, and S.-K. Tu, “Video object tracking using adaptive Kalman filter”, Journal of Visual Communication and Image Representation, vol. 17, no. 6, pp. 1190-1208, 2006.Search in Google Scholar

[12] Z. Messaoudi, A. Ouldali, and M. Oussalah, “Tracking objects in video sequence using active contour models and unscented Kalman filter”, in International Workshop on Systems, Signal Processing and their Applications, WOSSPA, pp. 135–138, May 2011.10.1109/WOSSPA.2011.5931433Search in Google Scholar

[13] H. Kaur and J. S. Sahambi, “Vehicle tracking in video using fractional feedback Kalman filter”, IEEE Transactions on Computational Imaging, vol. 2, pp. 550-561, December 2016.10.1109/TCI.2016.2600480Search in Google Scholar

[14] D. Sierociuk and A. Dzieliadski, “Fractional Kalman filter algorithm for states, parameters and order of fractional system estimation”, International Journal of Applied Mathematics and Computer Science, pp. 129-140, 2006.Search in Google Scholar

[15] A. Aminifar, “Analysis and Optimization of Embedded Control Systems”, PhD thesis, Linkau Ping University, 2016.10.3384/diss.diva-124319Search in Google Scholar