@inproceedings{b0bea644eee4431a9e30087c49438158,
title = "Fading unscented–extended kalman filter for multiple targets tracking with symmetric equations of nonlinear measurements",
abstract = "This paper is devoted to the problem of multiple targets tracking based on symmetric equations of nonlinear measurements. We develop a nonlinear stochastic model with unknown random bias to provide a unified structure for the tracking systems with different types of symmetric measurement equations. Moreover, the fading unscented–extended Kalman filter (FUEF) is designed to deal with the strong nonlinearities by embedding the unscented transforminto the extended Kalman filter and to conduct the effect of unknown bias by inserting the fading factor. The performance of the novel filter paired with two of symmetric measurement equations are illustrated and compared by the Monte Carlo simulation results.",
keywords = "Kalman filter, Multiple targets tracking, Nonlinear system, Random bias",
author = "Cui Zhang and Yingmin Jia and Changqing Chen",
note = "Publisher Copyright: {\textcopyright} Springer Science+Business Media Singapore 2016.; International Conference on Chinese Intelligent Systems Conference, CISC 2016 ; Conference date: 01-01-2016",
year = "2016",
doi = "10.1007/978-981-10-2335-4\_5",
language = "英语",
isbn = "9789811023347",
series = "Lecture Notes in Electrical Engineering",
publisher = "Springer Verlag",
pages = "37--49",
editor = "Weicun Zhang and Yingmin Jia and Hongbo Li and Junping Du",
booktitle = "Proceedings of 2016 Chinese Intelligent Systems Conference",
address = "德国",
}