[1]

Liu H., Wu W., Strong Tracking Spherical Simplex-Radial Cubature Kalman Filter for Maneuvering Target Tracking, J. Sensors., 2017,17(4), 741. Google Scholar

[2]

Kowsari E., Safarinejadian B., Zarei J., Non-parametric fault detection methods in non-linear systems, J. IET Science, Measurement & Technology., 2016,10(3), 167-176. Google Scholar

[3]

Zarei J., Shokri E., Robust sensor fault detection based on nonlinear unknown input observer. J. Measurement., 2014, 48, 355-367. Google Scholar

[4]

Zhang A., Bao S., Bi W., Yuan Y., Low-cost adaptive square-root cubature Kalman filter for systems with process model uncertainty. J. Journal of Systems Engineering and Electronics.,2016, 27(5), 945-953. Google Scholar

[5]

Brown T., Du S., Eruslu H., et al. Analysis of models for viscoelastic wave propagation,J. Applied Mathematics & Nonlinear Sciences., 2018, 3(1):55-96. Google Scholar

[6]

Khellat F., Khormizi M., A global solution for a reaction-diffusion equation on bounded domains,J. Applied Mathematics & Nonlinear Sciences.,2018, 3(1): 15-22. Google Scholar

[7]

Li X., Duan F., Mba D., Bennett I., Multidimensional prognostics for rotating machinery: A review,J. Advances in Mechanical Engineering.,2017, 9(2), 1687814016685004. Google Scholar

[8]

Bian M., Wang J., Liu W., Qiu K., Robust and reliable estimation via recursive nonlinear dynamic data reconciliation based on cubature Kalman filter, J. Cluster Computing., 2017,20(4), 2919-2929. Google Scholar

[9]

Al-Shabi M., Sigma-Point Filters in Robotic Applications, J. Intelligent Control and Automation.,2015, 6(03), 168. Google Scholar

[10]

Shi Y., Che L., G, Q.,Zhou X., Adaptive high-degree Cubature Kalman filter with unknown noise statistics, J. JOURNAL OF INFORMATION & COMPUTATIONAL SCIENCE., 2014, 11(18), 6703-6712. Google Scholar

[11]

Wang S., Zhang W., Yin C., Feng Y., Huber-based Unscented Kalman Filters with the q-gradient, J. IET Science, Measurement & Technology.,2017, 11(4), 380-387. Google Scholar

[12]

Li H., An improved square root cubature particle filter for navigation, J. International Journal of Hybrid Information Technology.,2014, 7(6), 453-462. Google Scholar

[13]

Wang L., Liang Y., Wang X., Xu L., Gaussian sum filter of Markov jump non-linear systems, J. IET Signal Processing.,2015, 9(4), 335-340. Google Scholar

[14]

Foxlin E., Calloway T., Zhang H., Design and Error Analysis of a Vehicular AR System with Auto-Harmonization, J. IEEE transactions on visualization and computer graphics.,2015, 21(12), 1323-1335. Google Scholar

[15]

Guo Y., Tharmarasa R., Rajan S., Song T. L., Kirubarajan T., Passive tracking in heavy clutter with sensor location uncertainty, J. IEEE Transactions on Aerospace and Electronic Systems.,2016, 52(4), 1536-1554. Google Scholar

[16]

Li W., Wang Z., Yuan Y., Guo L., Particle filtering with applications in networked systems: a survey, J. Complex & Intelligent Systems.,2016, 2(4), 293-315. Google Scholar

[17]

Havlík J.,Šimandl M.,Straka O., A New Practically Oriented Generation of Nonlinear Filtering Toolbox, J. Ifac Papersonline., 2015, 48(28): 1070-1075. Google Scholar

[18]

Giron-Sierra J. M., Kalman Filter, Particle Filter and Other Bayesian Filters, Digital Signal Processing with Matlab Examples, 1rd ed. Volume 3. Springer Singapore, 2017. Google Scholar

[19]

Roth M., Hendeby G., Gustafsson F., EKF/UKF maneuvering target tracking using coordinated turn models with polar/Cartesian velocity, International Conference on Information Fusion, IEEE, 2014:1-8. Google Scholar

[20]

López-Salcedo J. A., Del Peral-Rosado J. A., Seco-Granados, G., Survey on robust carrier tracking techniques, J. IEEE Communications Surveys & Tutorials., 2014, 16(2), 670-688. Google Scholar

[21]

Alhashimi A., Varagnolo D., Gustafsson T., Calibrating Distance Sensors for Terrestrial Applications Without Groundtruth Information, J. IEEE Sensors Journal., 2017, 17(12):3698-3709. Google Scholar

## Comments (0)

General note:By using the comment function on degruyter.com you agree to our Privacy Statement. A respectful treatment of one another is important to us. Therefore we would like to draw your attention to our House Rules.