TY - JOUR
T1 - Horizon group shift FIR filter
T2 - Alternative nonlinear filter using finite recent measurements
AU - Pak, Jung Min
AU - Ahn, Choon Ki
AU - Lim, Myo Taeg
AU - Song, Moon Kyou
N1 - Funding Information:
This work (NRF-2013R1A1A2008698) was supported by General Research Program through NRF grant funded by the Ministry of Education. This work was also financially supported in part by the Ministry of Trade, Industry & Energy (MOTIE) , Korea Institute for Advancement of Technology (KIAT) and Honam Institute for Regional Program Evaluation through the Leading Industry Development for Economic Region.
PY - 2014/11
Y1 - 2014/11
N2 - In finite impulse response (FIR) filtering using finite recent measurements, horizon size (window length) is an important parameter that influences estimation performance. In this paper, to improve the estimation performance of a nonlinear FIR filter, we propose an alternative nonlinear FIR filter called horizon group shift (HGS) FIR filter and adopt a novel method to manage horizon size. The HGS-FIR filter adjusts horizon size based on the likelihood of observation and achieves a significant performance improvement. We verified that the HGS-FIR filter exhibits excellent performance, exceeding that of existing nonlinear filters, including the extended Kalman filter, unscented Kalman filter, and particle filter.
AB - In finite impulse response (FIR) filtering using finite recent measurements, horizon size (window length) is an important parameter that influences estimation performance. In this paper, to improve the estimation performance of a nonlinear FIR filter, we propose an alternative nonlinear FIR filter called horizon group shift (HGS) FIR filter and adopt a novel method to manage horizon size. The HGS-FIR filter adjusts horizon size based on the likelihood of observation and achieves a significant performance improvement. We verified that the HGS-FIR filter exhibits excellent performance, exceeding that of existing nonlinear filters, including the extended Kalman filter, unscented Kalman filter, and particle filter.
KW - Finite impulse response filter
KW - Horizon group shift
KW - Nonlinear filter
KW - State estimation
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U2 - 10.1016/j.measurement.2014.07.007
DO - 10.1016/j.measurement.2014.07.007
M3 - Article
AN - SCOPUS:84906489207
VL - 57
SP - 33
EP - 45
JO - Measurement: Journal of the International Measurement Confederation
JF - Measurement: Journal of the International Measurement Confederation
SN - 0263-2241
ER -