RSS-based Device-free Passive Detection and Localization Using Home Automation Network Radio Frequencies
Abstract
This research provided a proof of concept for a device-free passive (DfP) system capable of detecting and localizing a target through the exploitation of the Insteon home automation network's 915 MHz radio frequency (RF) signals. Software-defined radios simulated Insteon devices capable of collecting and reporting RSS. A message generation script was created and a calibrated filter was implemented to reduce silent periods. Baseline threshold detection was conducted using a tripwire setup and performed well. Multi-node, cell-based localization was tested and received poor results. A context-based method was developed and tested in the same room as well as two other rooms and observed improved localization performance. Feasibility of exploiting RF of a home automation network for DfP indoor detection and localization was demonstrated. Despite not achieving optimal localization performance, the results from system deployment showed promise for future DfP system deployment on top of home automation RF devices.
Document Details
- Document Type
- Technical Report
- Publication Date
- Mar 22, 2018
- Accession Number
- AD1056205
Entities
People
- Tiffany M. Phan
Organizations
- Air Force Institute of Technology