@inproceedings{53a0e4822bbd4c2eb15c0612c3894132,
title = "Single-Sensor Localization of Moving Sources Using Diffusion Kernels and Brownian Motion Model",
abstract = "Recently, we introduced a single-sensor method for estimating the location and velocity of moving sources. The obtained state-of-the-art results are valid to slow sources whose velocities are gradually changing through time. In this paper, we challenge our algorithm's fundamental assumption. We apply the algorithm to sources that have rapid and random fluctuations in their velocity. The proposed algorithm is based on a supervised learning approach, using diffusion maps with a Euclidean distance-based diffusion kernel. Experimental results demonstrate the benefits of the proposed single-sensor localization method for sources with a Brownian motion model of randomly fluctuating movements.",
keywords = "Source localization, diffusion maps, direction finding, manifold learning, non-cooperative localization, passive sensing, position finding, single-sensor, single-site",
author = "Eran Zeitouni and Israel Cohen",
note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 24th IEEE International Workshop on Multimedia Signal Processing, MMSP 2022 ; Conference date: 26-09-2022 Through 28-09-2022",
year = "2022",
doi = "https://doi.org/10.1109/MMSP55362.2022.9949173",
language = "الإنجليزيّة",
series = "2022 IEEE 24th International Workshop on Multimedia Signal Processing, MMSP 2022",
booktitle = "2022 IEEE 24th International Workshop on Multimedia Signal Processing, MMSP 2022",
}