ToA-based Iterative Localization in Rich Multipath Channels

Iterative localization is arising as a promising solution to determine the position of a mobile station in a cellular network. We recently showed that in a perfect line-of-sight environment, iterating between the conventional delay estimation and multi-lateration steps allows to approach the performance of the direct localization based on the observation of the received signals. In this paper we extend our iterative localization method to operate in rich multipath environments. Simulation results prove that given some prior knowledge on the power delay profile of the channel, the proposed iterative algorithm is robust to harsh propagation environments and performs very close to the direct localization approach.

[1]  André Bourdoux,et al.  Iterative ToA-based terminal positioning in emerging cellular systems , 2017, 2017 IEEE International Conference on Communications (ICC).

[2]  A. Amar,et al.  New asymptotic results on two fundamental approaches to mobile terminal location , 2008, 2008 3rd International Symposium on Communications, Control and Signal Processing.

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

[4]  Kolla Srinivasa Sankar,et al.  Pilot-Symbol Assisted Power Delay Profile Estimation for MIMO-OFDM Systems , 2013 .

[5]  S. Kay Fundamentals of statistical signal processing: estimation theory , 1993 .

[6]  Anthony J. Weiss,et al.  Location estimation in multipath environments with unsynchronized base stations , 2016, 2016 IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM).

[7]  Christopher Cox,et al.  An Introduction to LTE: LTE, LTE-Advanced, SAE and 4G Mobile Communications , 2012 .

[8]  Robert A. Scholtz,et al.  Ranging in a dense multipath environment using an UWB radio link , 2002, IEEE J. Sel. Areas Commun..

[9]  Kaveh Pahlavan,et al.  Super-resolution TOA estimation with diversity for indoor geolocation , 2004, IEEE Transactions on Wireless Communications.

[10]  R. Michael Buehrer,et al.  Handbook of Position Location: Theory, Practice and Advances , 2011 .

[11]  Anthony J. Weiss,et al.  Robust time-of-arrival estimation in multipath channels with OFDM signals , 2017, 2017 25th European Signal Processing Conference (EUSIPCO).

[12]  Troels Pedersen,et al.  Bayesian ranging for radio localization with and without line-of-sight detection , 2015, 2015 IEEE International Conference on Communication Workshop (ICCW).

[13]  Radford M. Neal Pattern Recognition and Machine Learning , 2007, Technometrics.