Positioning Performance of LTE Signals in Rician Fading Environments Exploiting Antenna Motion

Kimia Shamaei, Joshua J. Morales, and Zak M. Kassas

Peer Reviewed

Abstract:	A navigation framework based on a multi-state constraint Kalman filter (MSCKF) is proposed to reduce the effect of time-correlated pseudorange measurement noise of cellular long-term evolution (LTE) signals. The proposed MSCKF navigation framework uses a tightly-coupled inertial navigation system (INS) aided by pseudoranges to multiple eNodeBs to estimate the position of the receiver along with the difference of the clock bias of the receiver and each of the eNodeBs. Simulation results with a Rician fading channel multipath environment are presented showing a reduction of 44.31% in the two-dimensional (2D) position root mean squared-error (RMSE) using the proposed approach compared to an extended Kalman filter (EKF) approach. Experimental results on a ground vehicle navigating in an urban environment are presented showing a 2D RMSE of 6.05 m over a trajectory of 1380 m using the proposed approach. The results show a reduction of 48% in the 2D position RMSE and 50% in the 3D position RMSE using the proposed framework compared to an EKF.
Published in:	Proceedings of the 31st International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2018) September 24 - 28, 2018 Hyatt Regency Miami Miami, Florida
Pages:	3423 - 3432
Cite this article:	Shamaei, Kimia, Morales, Joshua J., Kassas, Zak M., "Positioning Performance of LTE Signals in Rician Fading Environments Exploiting Antenna Motion," Proceedings of the 31st International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2018), Miami, Florida, September 2018, pp. 3423-3432. https://doi.org/10.33012/2018.16089
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