McEachen, II, John C.

This proposal investigates a pattern-based approach utilizing compressive sensing and particle filtering techniques for geolocating and tracking multiple modern mobile devices, such as those based upon Long Term Evolution (LTE) and WiMax technologies, with improved accuracy. The objective is to simultaneously locate and track large numbers of 4G mobile users by taking advantage of improved features of the 4G signal. Mobile broadband adoption is occurring on a global scale faster than adoption of any other communication technology in history, including the adoption of 2G mobile phones. The proposed technique utilizes both remotely collected signal measurements and control messages sent by 4G basestations to subscribers for synchronization purposes. We propose a novel pattern-based approach to locating mobile radio frequency devices in this dynamic, emerging wireless signals environment. At the center of this approach is the growing theory of compressive sensing, which will allow us to quickly and accurately track multiple users in an environment with a variable number of base stations. In addition to geolocating and tracking based off pattern-based approaches, compressive sensing will be used to interpolate exploitable standards-based data collections, such as the timing adjust as well as the signal strength measurements, in order to improve estimation accuracy. The advantages of particle filtering will be leveraged when appropriate to aid the pattern-based approach to improve estimation accuracy. Validation will be conducted with actual traffic from field testing at Yuma Proving Ground and on public networks as appropriate.
Electrical & Computer Engineering
Office of the Secretary of the Air Force/FMBIB-AFOY
Air Force
2016