@inproceedings{b6ba79ad9d59464a8683eb63a856f432,
title = "Sequential Monte Carlo radio-frequency tomographic tracking",
abstract = "Radio Frequency (RF) tomographic tracking is the process of tracking moving targets by analyzing changes of attenuation in wireless transmissions. This paper presents a novel sequential Monte Carlo (SMC) method for RF tomographic tracking of a single target using a wireless sensor network. The algorithm incorporates on-line Expectation Maximization (EM) to estimate model parameters. Based on experimental measurements, we introduce a new measurement model for the attenuation caused by a target. We assess performance through numerical simulation and demonstrate that it significantly outperforms previous RF tomographic tracking procedures.",
keywords = "On-line EM, RF Tomography, Sequential Monte Carlo, Wireless Sensor Networks",
author = "Yunpeng Li and Xi Chen and Mark Coates and Bo Yang",
year = "2011",
month = jul,
day = "12",
doi = "10.1109/ICASSP.2011.5947223",
language = "English",
isbn = "9781457705397",
series = "ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings",
publisher = "IEEE",
pages = "3976--3979",
booktitle = "2011 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011 - Proceedings",
address = "USA United States",
note = "36th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011 ; Conference date: 22-05-2011 Through 27-05-2011",
}