An Absolute-Position-Aided Code Discriminator Towards GNSS Receivers for Multipath Mitigation

Luo, Yiran; Hsu, Li‐Ta; Xiang, Yan; Xu, Bing; Yu, Chunyang

doi:10.33012/2021.18001

Cited by 3 publications

(2 citation statements)

References 8 publications

(12 reference statements)

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“…ri,(RTK) r,k−1 is the predicted geometry distance; pi k−1 is the vector of satellite position; p(RTK) r,k−1 is the vector of the estimated float RTK position; Br,ρ,t,k−1 + Bi ρ,sys,k−1 is the summation of the local clock bias error estimation and systematic error estimation, computed from base station information and master satellite measurements [26]; Br,mp,k−1 is the estimated multipath delay error imposed on the absolute code phase error via a between-satellite single difference algorithm, and κ D is its tuned coefficient constant, based on the involved early-late spacing [30]. Next, the work process of the RTK-position-aided VDFPLL in the GPS SDR within the same tracking epoch is outlined as follows:…”

Section: Rtk-position-aided Vdfpllmentioning

confidence: 99%

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High-Accuracy Absolute-Position-Aided Code Phase Tracking Based on RTK/INS Deep Integration in Challenging Static Scenarios

et al. 2023

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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.

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Section: Rtk-position-aided Vdfpllmentioning

confidence: 99%

“…Regarding these discussions, this work proposes an improved version of the authors' previous research [26,30]. More specifically, a low-cost inertial measurement unit (IMU) is deeply integrated into a GNSS vector delay/frequency/phase lock loop (VDFPLL) software-defined radio (SDR).…”

Section: Introductionmentioning

confidence: 99%