@inproceedings{97c85faad17f4e2bb21ed8cdd163da0a,
title = "Improved Interactive Multiple Model Kalman Filter Design for Tracking Complex Moving Vehicles under Concealed Conditions",
abstract = "In order to adapt to the possible discontinuity and discontinuity in the transmitting signals of special vehicles in the complex combat environment, the Improved Interacting Multiple Model Kalman Filter (I-IMM-KF) method is proposed in this paper. In order to improve the performance of maneuvering target tracking algorithm, this paper adopts four interactive algorithms: constant velocity (CV) model, constant acceleration (CA) model, constant left turn (CT-left) model and constant right turn (CT-right) model, the window function is used to improve the probability density function. Finally, the improved algorithm and the single filter Kalman filter (KF) algorithm are simulated in the case of low noise and large noise and continuous signal characteristics. Simulation results show that the improved IMM algorithm has a higher tracking accuracy than the ordinary KF algorithm, and the advantage is highlighted in the complex environment.",
keywords = "IMM, Kalman Filter, discontinuity, target track",
author = "Shi Cheng and Weijiang Wang and Yue Ma and Shiwei Ren and Lingyu Li",
note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 2022 Cross Strait Radio Science and Wireless Technology Conference, CSRSWTC 2022 ; Conference date: 17-12-2022 Through 18-12-2022",
year = "2022",
doi = "10.1109/CSRSWTC56224.2022.10098456",
language = "English",
series = "2022 Cross Strait Radio Science and Wireless Technology Conference, CSRSWTC 2022",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2022 Cross Strait Radio Science and Wireless Technology Conference, CSRSWTC 2022",
address = "United States",
}