@inproceedings{10dd58fe93904fa89f0215da2a4d4764,
title = "The application of support vector regression in particle filtering",
abstract = "In this paper, we propose a resampling method for particle filtering (PF) based on the support vector regression (SVR). The SVR is introduced to fit the posteriori probability density function of the current state in the procedure of the filtering. Particles was resetting in the high-probability region, and the weights of these particles are calculated according the fit function. Simulation shows that the proposed resampling method is effective for non-linear filter problem.",
keywords = "Nonlinear filter, Prartilce filter, Resamping method, Support vector regression",
author = "Xingzi Qiang and Rui Xue and Yanbo Zhu",
note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 2021 IEEE International Conference on Information Communication and Software Engineering, ICICSE 2021 ; Conference date: 19-03-2021 Through 21-03-2021",
year = "2021",
month = mar,
day = "19",
doi = "10.1109/ICICSE52190.2021.9404107",
language = "英语",
series = "2021 IEEE International Conference on Information Communication and Software Engineering, ICICSE 2021",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "5--9",
booktitle = "2021 IEEE International Conference on Information Communication and Software Engineering, ICICSE 2021",
address = "美国",
}