Indoor Tracking and Localization of non-authorized Cellphones in Prisons Using Uplink Signals

Schmidt, A.; Müller, L.; Grossniklaus, B.; Vetter, R.; Schwab, P.; Dellsperger, F. (2019). Indoor Tracking and Localization of non-authorized Cellphones in Prisons Using Uplink Signals In: 2019 International Conference on Indoor Positioning and Indoor Navigation (IPIN) (pp. 1-6). IEEE 10.1109/IPIN.2019.8911752

[img] Text
Indoor Tracking and Localization of non-authorized Cellphones in Prisons Using Uplink Signals.pdf - Published Version
Restricted to registered users only
Available under License Publisher holds Copyright.

Download (711kB) | Request a copy

In prisons, cellphones are often used by inmates to communicate with the outside world creating a serious problem for public safety. We developed a system for indoor localization of non-authorized active cellphones operating in the 2G, 3G or 4G communication standards. The system is based on a fingerprinting technique of signals from 12 antennas covering the building under surveillance. The fingerprints were extracted from antenna signals using Welch’s classical short-term PSD estimator. To obtain relevant fingerprints background noise reduction was performed through spectral subtraction and separation of signals from different cellphones was achieved by k-means clustering. The resulting cellphone specific signals strengths provided relevant fingerprints for a final classification by the Mahalanobis distance. The validation performed in a four-story prison building with over 100 localization cells showed high performance yielding a localization error smaller than 1.8m for the 2G, 3G and 4G communication standards in 70% of all measurements.

Item Type:

Conference or Workshop Item (Paper)

Division/Institute:

Engineering and Information Technology > Institut für Optimierung und Datenanalyse IODA
Engineering and Information Technology

Name:

Schmidt, A.;
Müller, L.;
Grossniklaus, B.;
Vetter, R.;
Schwab, P. and
Dellsperger, F.

ISBN:

978-1-7281-1788-1

Publisher:

IEEE

Language:

English

Submitter:

Rolf Vetter

Date Deposited:

09 Dec 2019 16:06

Last Modified:

29 Jan 2020 11:48

Publisher DOI:

10.1109/IPIN.2019.8911752

ARBOR DOI:

10.24451/arbor.9347

URI:

https://arbor.bfh.ch/id/eprint/9347

Actions (login required)

View Item View Item
Provide Feedback