@inproceedings{5b062a41ba4649a2a3933e370315685e,
title = "Sequential geoacoustic inversion and source tracking using Ensemble Kalman-particle filter",
abstract = "The estimation of geoacoustic parameters of such a varying field can be reformulated as a sequential filter track problem. Sequential Bayesian filtering is widely applied in ocean geoacoustic inversion such as ensemble Kalman filter and particle filter. We introduce the ensemble Kalman particle filter to a sequential geoacoustic inversion problem in shallow water. This filter combines the advantages of particle filter and ensemble Kalman filter so its ability of tracking dynamical geoacoustic parameters is improved.",
keywords = "Geoacoustic inversion, Kalman filter, particle filter, shallow water",
author = "Hong Liu and Kunde Yang and Qiulong Yang and Yuanliang Ma and Chunlong Huang",
note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 2020 Global Oceans: Singapore - U.S. Gulf Coast, OCEANS 2020 ; Conference date: 05-10-2020 Through 30-10-2020",
year = "2020",
month = oct,
day = "5",
doi = "10.1109/IEEECONF38699.2020.9389211",
language = "英语",
series = "2020 Global Oceans 2020: Singapore - U.S. Gulf Coast",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2020 Global Oceans 2020",
}