Vector Processing

Lashley, Matthew; Martin, Scott M.; Sennott, James W.

doi:10.1002/9781119458449.ch16

Cited by 3 publications

(2 citation statements)

References 7 publications

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“…x,k which is explained later, with x ∈ {I, G/I, G/I|DR}; ∆ f i,(aid) carr,k is the aided Doppler frequency computed via the user's velocity estimation, known as a VDFLL technique [32]; vx,k / vx,k and δ tr,k are the predicted user's velocity vector and the predicted user's clock drift; vi k and δ ti k are the satellite velocity vector and the satellite clock drift predicted with the broadcast ephemeris; êi k (•) is the operator of the unit cosine vector varied with the position estimation.…”

Section: Rtk/ins Apa Code Phase Trackingmentioning

confidence: 99%

“…At first, the conventional STL causes an apparent code Doppler frequency error and initial code phase error (see Figure 1a) [23]. Then, the traditional vector tracking compensates for parts of the Doppler frequency error, reducing the relative code phase error (see Figure 1b) [16,32]. Next, the vector tracking technique is further aided by an IMU sensor, so the GNSS baseband becomes more capable of alleviating the frequency error [33], but the initial code phase error remains (see Figure 1c).…”

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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/ins Apa Code Phase Trackingmentioning

confidence: 99%

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confidence: 99%