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Title: High-accuracy absolute-position-aided code phase tracking based on RTK/INS deep integration in challenging static scenarios
Authors: Luo, Y
Hsu, LT 
Jiang, Y
Liu, B
Zhang, Z
Xiang, Y
El-Sheimy, N
Issue Date: Feb-2023
Source: Remote sensing, Feb. 2023, v. 15, no. 4, 1114
Abstract: Many multi-sensor navigation systems urgently demand accurate positioning initialization from global navigation satellite systems (GNSSs) in challenging static scenarios. However, ground blockages against line-of-sight (LOS) signal reception make it difficult for GNSS users. Steering local codes in GNSS basebands is a desirable way to correct instantaneous signal phase misalignment, efficiently gathering useful signal power and increasing positioning accuracy. Inertial navigation systems (INSs) have been used as effective complementary dead reckoning (DR) sensors for GNSS receivers in kinematic scenarios, resisting various forms of interference. However, little work has focused on whether INSs can improve GNSS receivers in static scenarios. Thus, this paper proposes an enhanced navigation system deeply integrated with low-cost INS solutions and GNSS high-accuracy carrier-based positioning. First, an absolute code phase is predicted from base station information and integrated solutions of the INS DR and real-time kinematic (RTK) results through an extended Kalman filter (EKF). Then, a numerically controlled oscillator (NCO) leverages the predicted code phase to improve the alignment between instantaneous local code phases and received ones. The proposed algorithm is realized in a vector-tracking GNSS software-defined radio (SDR). Results of the time-of-arrival (TOA) and positioning based on real-world experiments demonstrated the proposed SDR.
Keywords: Code phase domain
Deep integration
Float RTK
GNSS baseband
Low-cost IMU
Multipath mitigation
Positioning
Vector SDR
Vector tracking
Publisher: Molecular Diversity Preservation International (MDPI)
Journal: Remote sensing 
EISSN: 2072-4292
DOI: 10.3390/rs15041114
Rights: © 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
The following publication Luo Y, Hsu L-T, Jiang Y, Liu B, Zhang Z, Xiang Y, El-Sheimy N. High-Accuracy Absolute-Position-Aided Code Phase Tracking Based on RTK/INS Deep Integration in Challenging Static Scenarios. Remote Sensing. 2023; 15(4):1114 is available at https://doi.org/10.3390/rs15041114.
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