LTE Signal Fingerprinting Device-Free Passive Localization in Changing Environments

Authors

  • Ernestina Cianca Department of Electronic Engineering, University of Rome “Tor Vergata” Via del Politecnico, 1, 00133 Rome, Italy
  • Giovanni Pecoraro Department of Electronic Engineering, University of Rome “Tor Vergata” Via del Politecnico, 1, 00133 Rome, Italy
  • Mauro De Sanctis Department of Electronic Engineering, University of Rome “Tor Vergata” Via del Politecnico, 1, 00133 Rome, Italy
  • Simone Di Domenico Department of Electronic Engineering, University of Rome “Tor Vergata” Via del Politecnico, 1, 00133 Rome, Italy

DOI:

https://doi.org/10.13052/jmm1550-4646.1531

Keywords:

Localization, device-free, fingerprinting, CSI, LTE

Abstract

This paper proposes a fingerprinting-based device Free Passive localization system based on the use of the LTE signal and it is robust to environment changes. The proposed methodology uses as fingerprints descriptors calculated on the CSI vectors rather than directly CSI vectors. The paper shows the performance of the proposed methods also assuming that the monitored environment might be different from the one characterized during the training phase as some equipment may be moved. Moreover, the paper compares the proposed method with signal fingerprinting approaches based on RSSI or direct CSI vectors. Experimental results, which consider one single LTE receiver in the monitored room, show the effectiveness of the proposed solution.

Downloads

Download data is not yet available.

Author Biographies

Ernestina Cianca, Department of Electronic Engineering, University of Rome “Tor Vergata” Via del Politecnico, 1, 00133 Rome, Italy

Ernestina Cianca is Associate Professor at the Dept. of Electronic Engineering of the University of Rome Tor Vergata, where she teaches Digital Communications and ICT Infrastructure and Applications (WSN, Smart Grid, ITS etc.). She is the Director of the II Level Master in Engineering and International Space Law in Satellite systems for Communication, Navigation and Sensing. She is vice-director of the interdepartmental Center CTIF-Italy. She has worked on wireless access technologies (CDMA, OFDM) and in particular in the waveforms design, optimization and performance analysis of radio interfaces both for terrestrial and satellite communications. An important part of her research has focused on the use of EHF bands (Q/V band, W band) for satellite communications and on the integration of satellite/terrestrial/HAP (High altitude Platforms) systems. Currently her main research interests are in the use of radio-frequency signals (opportunistic signals such as WiFi or specifically designed signals) for sensing purposes, and in particular device-free RF-based activity recognition/crowd counting/density estimation and localization;UWBradar imaging (i.e., stroke detection). She is author/co-author of 130 papers in international journals and conferences.

Giovanni Pecoraro, Department of Electronic Engineering, University of Rome “Tor Vergata” Via del Politecnico, 1, 00133 Rome, Italy

Giovanni Pecoraro has attended the Italian Air Force Academy from 2008 to 2013 and has received his B.Sc. and M.Sc. degrees cum laude in Telecommunications Engineering at the University of Naples “Federico II” in 2013. He has also received a M.Sc. degree cum laude in “Advanced Communication and Navigation Satellite Systems” in 2015 and a Ph.D. in Electronic Engineering at the University of Rome “Tor Vergata”. From 2013 to 2019 he worked as a Spacecraft Operation Engineer for the Italian Ministry of Defense where he was responsible for providing space systems performance analysis, investigating on anomalies and failures and managing all satellites operations. Since 2019 he has been working as Head of Cyberspace Operations at the Italian Joint Cyber Operations Command. His research is mainly focused on Device-free RF-based activity recognition/crowd counting/ density estimation and localization, but currently he is also working on the development of innovative Red Team tactics, techniques, and procedures (TTPs).

Mauro De Sanctis, Department of Electronic Engineering, University of Rome “Tor Vergata” Via del Politecnico, 1, 00133 Rome, Italy

Mauro De Sanctis received the “Laurea” degree in Telecommunications Engineering in 2002 and the Ph.D. degree in Telecommunications and Microelectronics Engineering in 2006 from the University of Roma “Tor Vergata” (Italy). From the end of 2008 he is Assistant Professor in the Department of Electronics Engineering, University of Roma “Tor Vergata” (Italy), teaching “Information Theory and Data Mining”. In April 2017, he received the Associate Professor habilitation (Italian National Scientific Habilitation – ASN 2016) from the Italian Ministry of University and Research for the scientific sector of telecommunications. From January 2004 to December 2005 he has been involved in the MAGNET (My personal Adaptive Global NET) European FP6 integrated project and in the SatNEx European network of excellence. From January 2006 to June 2008 he has been involved in the MAGNET Beyond European FP6 integrated project as scientific responsible of WP3/Task3. He has been involved in research activities for several projects funded by the Italian Space Agency (ASI): DAVID satellite mission (DAta and Video Interactive Distribution) during the year 2003; WAVE satellite mission (W-band Analysis and VErification) during the year 2004; FLORAD (Micro-satellite FLOwer Constellation of millimeter-wave RADiometers for the Earth and space Observation at regional scale) during the year 2008; CRUSOE (CRUising in Space with Out-of-body Experiences) during the years 2011/2012. He is serving as Associate Editor for the Signal Processing and Communication in Aerospace Systems area of the IEEE Aerospace and Electronic Systems Magazine and as Associate Editor for the Command, Control and Communications Systems area of the IEEE Transactions on Aerospace and Electronic Systems. His main areas of interest are: wireless terrestrial and satellite communication networks, data mining and information theory. He published more than 90 papers on journals and conference proceedings, 4 book chapters, one book and one patent. He was co-recipient of the best paper award from the 2009 International Conference on Advances in Satellite and Space Communications (SPACOMM 2009). Simone

Simone Di Domenico, Department of Electronic Engineering, University of Rome “Tor Vergata” Via del Politecnico, 1, 00133 Rome, Italy

Simone Di Domenico received both Bachelor and Master degrees in Internet technology engineering from the University of Roma “Tor Vergata”, in 2012 and 2014, respectively. He got the Ph.D. degree in Electronic Engineering at the University of Roma “Tor Vergata” in 2018. Currently, he is a postdoctoral researcher at the University of Roma “Tor Vergata” and his main research interests include the RF device-free human activity recognition and the RF device-free people counting.

References

Y. Gu, A. C. C. Lo, and I. G. Niemegeers. A survey of indoor positioning

systems for wireless personal networks. IEEE Communications Surveys

and Tutorials, 11(1):13–32, 2009.

Q. D. Vo and P. De. A survey of fingerprint-based outdoor localization.

IEEE Communications Surveys and Tutorials, 18(1):491–506, 2016.

X. Wang, L. Gao, S. Mao, and S. Pandey. CSI-based fingerprinting for

indoor localization: A deep learning approach. IEEE Transactions on

Vehicular Technology, 66(1):763–776, January 2017.

M. Youssef, M. Mah, and A. Agrawala. Challenges: Device-free passive

localization for wireless environments. In Proceedings of the 13th

Annual International Conference on Mobile Computing and Networking,

MOBICOM 2007, Montréal, Québec, Canada, September 9–14,

, pages 222–229. ACM, 2007.

F. Adib and D. Katabi. See through walls with wifi! SIGCOMM Comput.

Commun. Rev., 43(4):75–86, August 2013.

A. Popleteev and T. Engel. Device-free indoor localization based on

ambient FM radio signals. IJACI, 6(1):35–44, 2014.

J. Xiao, K. Wu, Y. Yi, L. Wang, and L. M. Ni. Pilot: Passive device-free

indoor localization using Channel State Information. In IEEE 33rd International

Conference on Distributed Computing Systems, ICDCS 2013,

–11 July, 2013, Philadelphia, Pennsylvania, USA, pages 236–245.

IEEE Computer Society, July 2013.

H. Abdel-Nasser, R. Samir, I. Sabek, and M. Youssef. MonoPHY:

Mono-stream-based device-free WLAN localization via physical layer

information. In 2013 IEEE Wireless Communications and Networking

Conference (WCNC), Shanghai, Shanghai, China, April 7–10, 2013,

pages 4546–4551. IEEE, April 2013.

M. Ibrahim and M. Youssef. CellSense: An accurate energyefficient

GSM positioning system. IEEE Trans. Vehicular Technology,

(1):286–296, 2012.

J. Borkowski and J. Lempiäinen. Pilot correlation positioning method

for urban UMTS networks. In 11th European Wireless Conference

– Next Generation wireless and Mobile Communications and Services,

Nicosia, Cyprus, 10–13 April, 2005, pages 1–5. VDE, April 2005.

J. Turkka, T. Hiltunen, R. U. Mondal, and T. Ristaniemi. Performance

evaluation of LTE radio fingerprinting using field measurements. In

International Symposium on Wireless Communication Systems

(ISWCS), Brussels, Belgium, August 25–28, 2015, pages 466–470.

IEEE, August 2015.

G. Pecoraro, S. Di Domenico, E. Cianca, and M. De Sanctis. LTE signal

fingerprinting localization based on CSI. In 13th IEEE International

Conference on Wireless and Mobile Computing, Networking and Communications,

WiMob 2017, Rome, Italy, October 9–11, 2017, pages 1–8.

IEEE Computer Society, October 2017.

T. Wigren. LTE fingerprinting localization with altitude. In Proceedings

of the 76th IEEE Vehicular Technology Conference, VTC Fall 2012,

Quebec City, QC, Canada, September 3–6, 2012, pages 1–5. IEEE,

September 2012.

G. Pecoraro, S. Di Domenico, E. Cianca, and M. De Sanctis. CSI-based

fingerprinting for indoor localization using LTE signals. EURASIP

Journal on Advances in Signal Processing, 2018(1):49, July 2018.

B. Mager, P. Lundrigan, and N. Patwari. Fingerprint-based devicefree

localization performance in changing environments. IEEE

Journal on Selected Areas in Communications, 33(11):2429–2438,

November 2015.

Q. Lei, H. Zhang, H. Sun, and L. Tang. Fingerprint-based device-free

localization in changing environments using enhanced channel selection

and logistic regression. IEEE Access, 6:2569–2577, 2018.

Xi Chen, Chen Ma, Michel AllegueMartnez, and Xue Liu. Taming

the inconsistency of wi-fi fingerprints for device-free passive indoor

localization. 05 2017.

X. Wan, X. Li, Z. Liu, and B. Dai. Hybrid wireless fingerprint indoor

localization method based on a convolutional neural network. Sensors,

2019.

S. Di Domenico, G. Pecoraro, E. Cianca, and M. De Sanctis. Trainedonce

device-free crowd counting and occupancy estimation using WiFi:

A doppler spectrum based approach. In 12th IEEE International Conference

on Wireless and Mobile Computing, Networking and Communications,

WiMob 2016, New York, NY, USA, October 17–19, 2016, pages

–8. IEEE Computer Society, October 2016.

Downloads

Published

2020-02-24

How to Cite

Cianca, E., Pecoraro, G., De Sanctis, M., & Di Domenico, S. (2020). LTE Signal Fingerprinting Device-Free Passive Localization in Changing Environments. Journal of Mobile Multimedia, 15(3), 141–162. https://doi.org/10.13052/jmm1550-4646.1531

Issue

Section

CONASENSE

Most read articles by the same author(s)