@inproceedings{b24ead52f89243628b756a2965510e1e,
title = "A carrier tracking algorithm of kalman filter based on combined maneuvering target model",
abstract = "Since the traditional current statistical Kalman (CS-Kalman) filter doesn{\textquoteright}t perform well enough when used in high-dynamic carrier tracking, an carrier tracking algorithm of Kalman filter based on combined maneuvering target model composed of high dynamic CS-Kalman filter and steady-state self-adaptive CS-Kalman filter is presented. The proposed algorithm achieves stable and accurate carrier synchronization by adjusting the CS-Kalman filter type and parameter corresponding to the dynamic condition in real time. Simulation results show that compared with the traditional CS-Kalman algorithm, the proposed algorithm is more realistic, practical valuable and adaptable in high dynamic environment.",
keywords = "Carrier tracking, Current statistical kalman (CS-Kalman) filter, High dynamic, Maneuvering target model",
author = "Zhulin Xiong and Shijie Ren and Celun Liu and Jianping An",
note = "Publisher Copyright: {\textcopyright} Springer-Verlag Berlin Heidelberg 2016.; Chinese Intelligent Systems Conference, CISC 2015 ; Conference date: 01-01-2015",
year = "2016",
doi = "10.1007/978-3-662-48386-2_29",
language = "English",
isbn = "9783662483848",
series = "Lecture Notes in Electrical Engineering",
publisher = "Springer Verlag",
pages = "273--281",
editor = "Hongbo Li and Weicun Zhang and Yingmin Jia and Junping Du",
booktitle = "Proceedings of the 2015 Chinese Intelligent Systems Conference",
address = "Germany",
}