Software-Defined Radio LTE Positioning Receiver Towards Future Hybrid Localization Systems

The appropriate positioning characteristics and fast deployment of Long Term Evolution (LTE) systems makes this technology a promising candidate towards future satellite and terrestrial hybrid scenario. Nevertheless, further studies on the achievable LTE positioning capabilities are still necessary for commercial or realistic network deployments. This paper describes a tool that provides standalone localization in LTE networks. The tool is a software-defined radio (SDR) receiver working at the LTE physical layer, performing acquisition, tracking and positioning. The SDR LTE positioning receiver is validated in a static scenario, showing position errors below three meters in the absence of multipath for a signal bandwidth of 1.08 MHz.

[1]  R. Fletcher.  A modified Marquardt subroutine for non-linear least squares , 1971 .

[2]  M. P. Fitz.  Planar filtered techniques for burst mode carrier synchronization , 1991, IEEE Global Telecommunications Conference GLOBECOM '91: Countdown to the New Millennium. Conference Record.

[3]  Paul H. Moose,et al.  A technique for orthogonal frequency division multiplexing frequency offset correction , 1994, IEEE Trans. Commun..

[4]  Per Ola Börjesson,et al.  ML estimation of time and frequency offset in OFDM systems , 1997, IEEE Trans. Signal Process..

[5]  Søren Holdt Jensen,et al.  A Software-Defined GPS and Galileo Receiver: A Single-Frequency Approach , 2006 .

[6]  P. Ward,et al.  Satellite Signal Acquisition , Tracking , and Data Demodulation , 2006 .

[7]  C.-C. Jay Kuo,et al.  Synchronization Techniques for Orthogonal Frequency Division Multiple Access (OFDMA): A Tutorial Review , 2007, Proceedings of the IEEE.

[8]  Volker Jungnickel,et al.  A Closed Concept for Synchronization and Cell Search in 3GPP LTE Systems , 2009, 2009 IEEE Wireless Communications and Networking Conference.

[9]  Jonas Medbo,et al.  Propagation channel impact on LTE positioning accuracy: A study based on real measurements of observed time difference of arrival , 2009, 2009 IEEE 20th International Symposium on Personal, Indoor and Mobile Radio Communications.

[10]  Markus Rupp,et al.  The Vienna LTE simulators - Enabling reproducibility in wireless communications research , 2011, EURASIP J. Adv. Signal Process..

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

[12]  Cumhur Erkut,et al.  Real-Time Recognition of Percussive Sounds by a Model-Based Method , 2011, EURASIP J. Adv. Signal Process..

[13]  C. Gentner,et al.  Hybrid Positioning with 3GPP-LTE and GPS employing Particle Filters , 2012 .

[14]  R. Buehrer,et al.  Fundamentals of Time-of-Arrival-Based Position Locations , 2012 .

[15]  Massimo Crisci,et al.  Analysis of Positioning Capabilities of 3GPP LTE , 2012 .

[16]  Massimo Crisci,et al.  Achievable localization accuracy of the positioning reference signal of 3GPP LTE , 2012, 2012 International Conference on Localization and GNSS.