@inproceedings{485e314f6c664412b9b6c39ee7051da7,
title = "Adaptive filter for linear systems with generalized unknown disturbance in measurements",
abstract = "The paper presents the problem of state estimation of linear stochastic time-varying system with generalized unknown disturbance (GUD) existing in the measurements. Such GUD can reflect the effects of sensor bias, deception jamming, navigation bias and so on. An upper-bound filter (UBF) is designed for such systems, and its optimal parameters are derived so that the minimum upper-bounds filter (MUBF) is obtained. The simulation about tracking a target via a biased sensor shows the effectiveness of the proposed filter.",
keywords = "Adaptive filtering, discrete time systems, generalized unknown disturbance",
author = "Yanbo Yang and Yuemei Qin and Yan Liang and Quan Pan and Feng Yang",
year = "2013",
language = "英语",
isbn = "9786058631113",
series = "Proceedings of the 16th International Conference on Information Fusion, FUSION 2013",
pages = "1336--1341",
booktitle = "Proceedings of the 16th International Conference on Information Fusion, FUSION 2013",
note = "16th International Conference of Information Fusion, FUSION 2013 ; Conference date: 09-07-2013 Through 12-07-2013",
}