@inproceedings{079a3e9a2a434e7a97b2c7f4752c0196,
title = "Adaptive Unscented Kalman Filter Based Line of Sight Rate for Strapdown Seeker",
abstract = "Line of sight (LOS) rate is required in accurate guidance way, whereas the strapdown seeker cannot measure the LOS rate directly. The unscented Kalman filter (UKF) is used in strapdown seeker since there is a strong nonlinearity in the state and measurement equations which is established by attitude and kinematic relationship between missile and target. In order to improve the robustness and precision of LOS rate estimation, an adaptive filtering algorithm is proposed in this paper to reasonably adjust the contribution of the dynamic model information. Simulation results indicate that compared to UKF, the adaptive UKF (AUKF) has a significant improvement in filtering accuracy.",
keywords = "LOS rate, UKF, adaptive filter, strapdown seeker",
author = "Wenhao Mi and Jiayuan Shan and Yongshan Liu",
note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 2018 Chinese Automation Congress, CAC 2018 ; Conference date: 30-11-2018 Through 02-12-2018",
year = "2018",
month = jul,
day = "2",
doi = "10.1109/CAC.2018.8623793",
language = "English",
series = "Proceedings 2018 Chinese Automation Congress, CAC 2018",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "886--891",
booktitle = "Proceedings 2018 Chinese Automation Congress, CAC 2018",
address = "United States",
}