@inproceedings{560643159630425c86b844b23dd12901,
title = "Nonlinear Tracking Using Uncorrelated Conversion Based Continuous-Discrete Filter",
abstract = "For the strong nonlinear continuous-discrete tracking problem, A novel method has been proposed, which is square root continuous-discrete cubature Kalman filter based uncorrelated conversion. We construct uncorrelated conversion function and perform uncorrelated conversion on measurements. The square root continuous-discrete cubature Kalman filter is updated with the measurements and its uncorrelated conversion. The performance of the filter is improved due to gain of uncorrelated conversion. Finally, the performance of the new method was verified to be excellent compared with current methods in the classical tracking scenario.",
keywords = "continuous-discrete, nonlinear tracking, uncorrelated conversion",
author = "Haibo Yang and Dongmei Jiang and Yu Zhu",
note = "Publisher Copyright: {\textcopyright} 2024 IEEE.; 2024 IEEE International Conference on Unmanned Systems, ICUS 2024 ; Conference date: 18-10-2024 Through 20-10-2024",
year = "2024",
doi = "10.1109/ICUS61736.2024.10839842",
language = "英语",
series = "Proceedings of 2024 IEEE International Conference on Unmanned Systems, ICUS 2024",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "915--920",
editor = "Rong Song",
booktitle = "Proceedings of 2024 IEEE International Conference on Unmanned Systems, ICUS 2024",
}