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Sensors 2018, 18(3), 845; doi:10.3390/s18030845

Design and Implementation of an RTK-Based Vector Phase Locked Loop

Position, Location and Navigation (PLAN) Group; Schulich School of Engineering, University of Calgary, Calgary, AB T2N 1N4, Canada
Author to whom correspondence should be addressed.
Received: 8 January 2018 / Revised: 26 February 2018 / Accepted: 6 March 2018 / Published: 13 March 2018
(This article belongs to the Special Issue GNSS and Fusion with Other Sensors)
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This paper introduces a novel double-differential vector phase-locked loop (DD-VPLL) for Global Navigation Satellite Systems (GNSS) that leverages carrier phase position solutions as well as base station measurements in the estimation of rover tracking loop parameters. The use of double differencing alleviates the need for estimating receiver clock dynamics and atmospheric delays; therefore, the navigation filter consists of the baseline dynamic states only. It is shown that using vector processing for carrier phase tracking leads to a significant enhancement in the receiver sensitivity compared to using the conventional scalar-based tracking loop (STL) and vector frequency locked loop (VFLL). The sensitivity improvement of 8 to 10 dB compared to STL, and 7 to 8 dB compared to VFLL, is obtained based on the test cases reported in the paper. Also, an increased probability of ambiguity resolution in the proposed method results in better availability for real time kinematic (RTK) applications. View Full-Text
Keywords: Global Navigation Satellite Systems (GNSS); vector tracking; carrier phase tracking; RTK Global Navigation Satellite Systems (GNSS); vector tracking; carrier phase tracking; RTK

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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Shafaati, A.; Lin, T.; Broumandan, A.; Lachapelle, G. Design and Implementation of an RTK-Based Vector Phase Locked Loop. Sensors 2018, 18, 845.

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