@inproceedings{ada00d93185d4e12b3110dc35bdfbe65,
title = "H infinity filter in maneuvering target tracking of military guidance field1",
abstract = "The EKF filter is an effective tool for estimating the states of a system. However, accurate system models are not as readily available for industrial problems such as the maneuvering target tracking. State estimators that can tolerate such uncertainty are called robust. The H infinity filter was specifically designed for robustness. In this paper, an improved filtering method combing the H infinity filter is proposed and implemented for maneuvering target tracking of military guidance field. The simulation results show that it yields better performance than EKF when the robust exists.",
keywords = "Current model, EKF filter, H infinity filter, Maneuvering target tracking",
author = "Linyan Guo and Chunlei Song and Yuliang Mao",
year = "2012",
doi = "10.1049/cp.2012.1173",
language = "English",
isbn = "9781849195379",
series = "IET Conference Publications",
number = "598 CP",
pages = "1114--1116",
booktitle = "International Conference on Automatic Control and Artificial Intelligence, ACAI 2012",
edition = "598 CP",
note = "International Conference on Automatic Control and Artificial Intelligence, ACAI 2012 ; Conference date: 03-03-2012 Through 05-03-2012",
}