Study of positioning methods in DVB-T single frequency networks

In this paper, we study a positioning method working in DVB-T single frequency networks (SFNs). These networks have several properties useful for positioning (synchronized emitters at fixed and known location, high SNR, OFDM signals containing pilot subcarriers). Thus, their signals may be used as signals-of-opportunity when the user enters a GNSS hostile environment (e.g. dense urban or indoor areas). One of the challenges to overcome is to distinguish the signals from different emitters. Here we suppose that the user can first compute his position by GNSS during an initialization phase, which is used for solving all the ambiguities concerning DVB-T emitters. After that, DVB-T signals can be used to aid positioning when the user enters a GNSS-blocked area, up to a limit case where all the GNSS satellites are not in view and only DVB-T signals are used for positioning. We tested this method by simulation, by adopting the free space loss model for the emitter attenuations and a two ray model for multipath. The obtained results show good performance if the receiver correctly associates the signal during the user's motion.

[1]  Olivier Julien,et al.  Development and validation of an OFDM/DVB-T sensor for positioning , 2010, IEEE/ION Position, Location and Navigation Symposium.

[2]  Bhaskar D. Rao,et al.  Sparse channel estimation via matching pursuit with application to equalization , 2002, IEEE Trans. Commun..

[3]  Jie Huang,et al.  Use of DVB-T Signals for Positioning in Dynamic Scenarios , 2011 .

[4]  Letizia Lo Presti,et al.  Digital signal processing in GNSS receivers , 2012 .

[5]  Olivier Julien,et al.  Use of OFDM-based digital TV for ranging: Tests and validation on real signals , 2010, 2010 5th ESA Workshop on Satellite Navigation Technologies and European Workshop on GNSS Signals and Signal Processing (NAVITEC).

[6]  Greg Welch,et al.  Welch & Bishop , An Introduction to the Kalman Filter 2 1 The Discrete Kalman Filter In 1960 , 1994 .

[7]  Olivier Julien,et al.  Pseudo-range measurements using OFDM channel estimation , 2009 .

[8]  Roberto Garello,et al.  Hybrid Indoor Positioning Approaches Based on WSN and RFID , 2011, 2011 4th IFIP International Conference on New Technologies, Mobility and Security.

[9]  S.K. Wilson,et al.  On channel estimation in OFDM systems , 1995, 1995 IEEE 45th Vehicular Technology Conference. Countdown to the Wireless Twenty-First Century.