@inproceedings{2ad4d83bab404a7aab7c2e3a32dd6524,
title = "Research on Airborne Passive Location Based on Extend Kalman Filter with Control Inputs",
abstract = "This paper describes the principle and method of traditional Kalman Filter (KF) algorithm and Extended Kalman Filter (EKF) with control inputs. An airborne 3D model of passive location system is established. And then the linearization of the nonlinear observation model and the steps and formulas of the recursive filtering estimation with the EKF with control inputs are derived. Finally, the using of the EKF with control inputs algorithm to solve passive location method based on the azimuth angle and pitching angle information is verified by computer simulation. The results show that this method is a new process with practical engineering significance.",
keywords = "Airborne passive locationt model, EKF with control inputs",
author = "Jingbo Wang and Xiling Luo",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 3rd International Conference on Information Science and Control Engineering, ICISCE 2016 ; Conference date: 08-07-2016 Through 10-07-2016",
year = "2016",
month = oct,
day = "31",
doi = "10.1109/ICISCE.2016.296",
language = "英语",
series = "Proceedings - 2016 3rd International Conference on Information Science and Control Engineering, ICISCE 2016",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1389--1392",
editor = "Shaozi Li and Yun Cheng and Ying Dai",
booktitle = "Proceedings - 2016 3rd International Conference on Information Science and Control Engineering, ICISCE 2016",
address = "美国",
}