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.

• Type: Journal
• Year: 2011
• Where: ICASSP
• Authors: Yunpeng Li, Xi Chen, Mark Coates, Bo Yang
• Keywords: ICASSP 2011, RF Tomographic Tracking, Signal Processing, Tomographic Tracking, Tomographic Tracking Procedures