@article{e1f95fdb2e8243089f17b742f6dc32b5,
title = "Switching Extensible FIR Filter Bank for Adaptive Horizon State Estimation With Application",
abstract = "Horizon size is an important parameter that affects the estimation performance of finite impulse response (FIR) filters. In this brief, we propose a novel adaptive horizon approach that aims to adapt the horizon size at each time point. The approach suggests providing state estimation using a bank of FIR filters called the switching extensible FIR filter bank (SEFFB), which consists of several FIR filters operating using different horizon sizes. The horizon sizes and the number of FIR filters in the SEFFB are adapted to changes in system characteristics using maximum likelihood. The SEFFB is applied to target tracking using a ground moving target indicator. A significant performance improvement is demonstrated using the SEFFB in comparison with a single FIR filter using constant optimal horizon size.",
keywords = "Adaptive horizon, finite impulse response (FIR) filter, state estimation, switching extensible FIR filter bank (SEFFB)",
author = "Pak, {Jung Min} and Ahn, {Choon Ki} and Shmaliy, {Yuriy S.} and Peng Shi and Lim, {Myo Taeg}",
note = "Funding Information: The work of J. M. Pak and M. T. Lim was supported by the General Research Program through the National Research Foundation (NRF) of Korea within the Ministry of Education under Grant NRF-2013R1A1A2008698. The work of C. K. Ahn was supported in part by NRF through the Ministry of Science, ICT, and Future Planning under Grant NRF-2014R1A1A1006101, and in part by the Human Resources Program in Energy Technology through the Korea Institute of Energy Technology Evaluation and Planning within the Ministry of Trade, Industry, and Energy, Korea, under Grant 20154030200610. The work of Y. S. Shmaliy was supported by the Royal Academy of Engineering within the Newton Research Collaboration Programme under Grant NRCP/1415/140. The work of P. Shi was supported by the National Natural Science Foundation of China under Grant 61573112, in part by the Australian Research Council under Grant DP140102180, Grant LP140100471, and Grant LE150100079, and in part by the 111 Project under Grant B12018. Publisher Copyright: {\textcopyright} 1993-2012 IEEE.",
year = "2016",
month = may,
doi = "10.1109/TCST.2015.2472990",
language = "English",
volume = "24",
pages = "1052--1058",
journal = "IEEE Transactions on Control Systems Technology",
issn = "1063-6536",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
number = "3",
}