|Abstract:||This paper proposes a novel line-of-sight (LOS) signal identification scheme and a corresponding radio localization algorithm for receivers in future cellular networks. The novelty of our algorithm is that the Doppler component of non-line-of-sight (NLOS) signals is retained for navigation, while the ranging component of NLOS signals is discarded. The proposed scheme is based on a Kalman filter that integrates range, bearing, and Doppler measurements acquired from both LOS and NLOS signals. The Kalman filter uses both LOS and NLOS signals for the prediction step while excluding NLOS signals from the correction step with the help of a residual test. In the correction step, the receiver only updates its position if one of the received signals is classified with confidence to be an LOS signal. If no LOS signal is detected with confidence, position is simply propagated via dead reckoning using velocity estimates from Doppler. In this paper, we also evaluate the system’s continuity and integrity to characterize the performance of the residual test for safety-of-life applications such as automated driving.|
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
|Pages:||3018 - 3027|
|Cite this article:||
Xu, Liangchun, Rife, Jason, "Doppler-aided Line-of-sight Identification and Localization in Future Cellular Networks," Proceedings of the 31st International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2018), Miami, Florida, September 2018, pp. 3018-3027.
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