@inproceedings{b16bc2b1cfb14e7b8f6976095ca7c9f2,
title = "State estimation for jump Markov linear systems with uncompensated biases",
abstract = "This paper studies the problem of state estimation for jump Markov linear systems with uncompensated biases. By describing the state and the measurement biases as additive random variables, a suboptimal filter has been developed by applying the basic interacting multiple model (IMM) approach. To derive a precise representation of the biases contributions to the state estimation, three auxiliary matrices are introduced with respect to the correlation between the state estimation errors and the biases, which helps to derive mode-conditioned estimates in the framework of the IMM. A numerical example involving tracking a maneuvering target is provided to compare the performance of the proposed filter with that of the augmented state filter.",
keywords = "Interacting multiple model, Jump Markov linear system, Uncompensated bias",
author = "Wenling Li and Yingmin Jia and Junping Du and Jun Zhang and Deyuan Meng",
year = "2013",
language = "英语",
isbn = "9781479901777",
series = "Proceedings of the American Control Conference",
pages = "4903--4908",
booktitle = "2013 American Control Conference, ACC 2013",
note = "2013 1st American Control Conference, ACC 2013 ; Conference date: 17-06-2013 Through 19-06-2013",
}