Sciweavers

Share
ICASSP
2011
IEEE

Sequential Monte Carlo Radio-Frequency tomographic tracking

9 years 2 months ago
Sequential Monte Carlo Radio-Frequency tomographic tracking
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.
Yunpeng Li, Xi Chen, Mark Coates, Bo Yang
Added 21 Aug 2011
Updated 21 Aug 2011
Type Journal
Year 2011
Where ICASSP
Authors Yunpeng Li, Xi Chen, Mark Coates, Bo Yang
Comments (0)
books