Cooperative RF pattern matching positioning for LTE cellular systems

In this paper, cooperative positioning for Long Term Evolution (LTE) cellular systems using Radio Frequency Pattern Matching (RFPM) is studied. Having the locations of users in a cellular system supports many applications such as location-based services and E911. Although Global Positioning System (GPS) can be found in every smartphone, its poor performance in indoor and dense environments encourages the development of cellular network-based solutions. Cellular localization has emerged in which the user locations can be determined by measurements obtained within the network without the aid of any external sources (e.g., GPS). Several positioning techniques have been considered in Release 9 of the 3rd Generation Partnership Project (3GPP) document such as Observed Time Difference Of Arrival (OTDOA) and Enhanced Cell ID (E-CID). In OTDOA, the User Equipment (UE) measures the time difference of signals from multiple eNodeBs and uses a trilateration algorithm to find its location. However, OTDOA performance can be highly degraded in rich multipath and non-line-of-sight environments particularly when there is strong interference. Hence, many companies and researchers are also evaluating other techniques such as RFPM in which the user location is estimated by comparing UE measurements with a series of reference data. RFPM is independent of line-of-sight conditions and has good performance in dense urban and indoor environments. In the current LTE networks, the UE can only communicate with eNodeBs. However, there are scenarios in which the UE is not able to communicate with a sufficient number of eNodeBs and cannot find its location without ambiguity. In this paper, a cooperative localization technique for LTE systems is proposed in which leveraging the Device-to-Device (D2D) communications protocol the UE communicates not only with eNodeBs but also with other UEs. It will be shown through computer simulations that the proposed positioning algorithm can significantly improve the positioning performance in LTE networks.

[1]  Steven Kay,et al.  Fundamentals Of Statistical Signal Processing , 2001 .

[2]  R. Michael Buehrer,et al.  Cooperative sensor localization with NLOS mitigation using semidefinite programming , 2012, 2012 9th Workshop on Positioning, Navigation and Communication.

[3]  Sailes K. Sengijpta Fundamentals of Statistical Signal Processing: Estimation Theory , 1995 .

[4]  Moe Z. Win,et al.  Cooperative Localization in Wireless Networks , 2009, Proceedings of the IEEE.

[5]  R. Michael Buehrer,et al.  Improving GPS-based vehicle positioning for Intelligent Transportation Systems , 2014, 2014 IEEE Intelligent Vehicles Symposium Proceedings.

[6]  R. Michael Buehrer,et al.  Asynchronous time-of-arrival-based source localization , 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

[7]  Ismail Güvenç,et al.  A Survey on TOA Based Wireless Localization and NLOS Mitigation Techniques , 2009, IEEE Communications Surveys & Tutorials.

[8]  Reza M. Vaghefi,et al.  Bearing-only target localization with uncertainties in observer position , 2010, 2010 IEEE 21st International Symposium on Personal, Indoor and Mobile Radio Communications Workshops.

[9]  A. Quazi An overview on the time delay estimate in active and passive systems for target localization , 1981 .

[10]  R. Michael Buehrer,et al.  Received signal strength-based sensor localization in spatially correlated shadowing , 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

[11]  Erik G. Ström,et al.  Cooperative Received Signal Strength-Based Sensor Localization With Unknown Transmit Powers , 2013, IEEE Transactions on Signal Processing.

[12]  Jing Liu,et al.  Survey of Wireless Indoor Positioning Techniques and Systems , 2007, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).

[13]  R. Michael Buehrer,et al.  Improving positioning in LTE through collaboration , 2014, 2014 11th Workshop on Positioning, Navigation and Communication (WPNC).

[14]  Stefania Sesia,et al.  LTE - The UMTS Long Term Evolution, Second Edition , 2011 .

[15]  Tsung-Nan Lin,et al.  Performance comparison of indoor positioning techniques based on location fingerprinting in wireless networks , 2005, 2005 International Conference on Wireless Networks, Communications and Mobile Computing.

[16]  R. Michael Buehrer,et al.  GPS-free cooperative mobile tracking with the application in vehicular networks , 2014, 2014 11th Workshop on Positioning, Navigation and Communication (WPNC).