@inproceedings{ff171aeb8f4e4be79db8f7a488a0bed0,
title = "Particle filtering for channel parameter tracking in a noisy shallow ocean environment using a vertical array",
abstract = "Acoustic signals in a shallow ocean environment are severely distorted due to the time-varying and inhomogeneous nature of the propagation channel. In this paper, a state-space model is introduced to characterize the uncertainties of the shallow ocean and a Rao-Blackwellized particle filter (RBPF) is developed to estimate the model parameters. Since both modal functions and horizontal wave numbers of the channel are assumed unknown, the state-space model has a high nonlinearity and high dimensionality. As the modal functions are linear with the measurements conditioning on the horizontal wave numbers, a Kalman filtering (KF) is employed to marginalize out the modal functions. Hence only the horizontal wave numbers need to be estimated by using a PF. Simulation results show that the proposed RBPF algorithm significantly outperforms the existing approaches.",
keywords = "modal function, Rao-Blackwellized particle filter, Shallow ocean acoustic model, wave number",
author = "X. Zhong and Hari, {V. N.} and W. Wang and H. Wang and X. Shen",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 5th IEEE Asia-Pacific Conference on Synthetic Aperture Radar, APSAR 2015 ; Conference date: 01-09-2015 Through 04-09-2015",
year = "2015",
month = oct,
day = "23",
doi = "10.1109/APSAR.2015.7306246",
language = "英语",
series = "Proceedings of the 2015 IEEE 5th Asia-Pacific Conference on Synthetic Aperture Radar, APSAR 2015",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "450--454",
booktitle = "Proceedings of the 2015 IEEE 5th Asia-Pacific Conference on Synthetic Aperture Radar, APSAR 2015",
}