Sequential Monte Carlo Radio-Frequency Tomographic Tracking

TitleSequential Monte Carlo Radio-Frequency Tomographic Tracking
Publication TypeConference Proceedings
Year of Publication2011
AuthorsLi, Y., X. Chen, M. J. Coates, and B. Yang
Conference NameInternational Conference on Acoustics, Speech, and Signal Processing
Pagination3976 - 3979
Date Published05/2011
PublisherIEEE
Conference LocationPrague, Czech Republic
KeywordsOn-line EM, RF Tomography, Sequential Monte Carlo, wireless sensor networks
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.

URLhttp://www.ece.mcgill.ca/~mcoate//publications/Li_ICASSP2011.pdf
DOI10.1109/ICASSP.2011.5947223
Refereed DesignationRefereed