Real time implementation of Vector Delay Lock Loop on a GNSS receiver hardware with an open software interface

Dietmayer, Katrin; Saad, Muhammad; Strobel, Christian; Garzia, Fabio; Overbeck, Matthias; Felber, Wolfgang

doi:10.1109/euronav.2019.8714175

Cited by 5 publications

(2 citation statements)

References 2 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This result shows that GOOSE© v2 outperforms the GOOSE© v1 receiver when the HW integration time is reduced to 1 ms. This aspect plays a vital role for algorithms where the tracking loops need to be closed in the lowest possible time, such as in Vector Tracking (VT) [9], Deep Coupling (DC) and LBCA [5].…”

Section: Performance Comparison Between Goose V1 and Goose V2mentioning

confidence: 99%

Quad-Band Multi-Constellation Global Navigation Satellite System Receiver Development Platform with System-on-Chip Architecture

Saad,

Garzia,

et al. 2023

Enc 2023

Self Cite

View full text Add to dashboard Cite

show abstract

Section: Performance Comparison Between Goose V1 and Goose V2mentioning

confidence: 99%

Quad-Band Multi-Constellation Global Navigation Satellite System Receiver Development Platform with System-on-Chip Architecture

Saad,

Garzia,

et al. 2023

Enc 2023

Self Cite

View full text Add to dashboard Cite

show abstract

“…An STL tracks each of the received GNSS signals independently from the others. An alternative approach is to track and adapt the channels jointly with vector tracking (VT) [ 3 ], but currently there are several hardware implementation issues that currently limit practical use [ 4 ]. Therefore, VT is not considered for the remainder of the paper.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of Adaptive Loop-Bandwidth Tracking Techniques in GNSS Receivers

Cortés

Merwe

Nurmi

et al. 2021

Sensors

Self Cite

View full text Add to dashboard Cite

Global navigation satellite system (GNSS) receivers use tracking loops to lock onto GNSS signals. Fixed loop settings limit the tracking performance against noise, receiver dynamics, and the current scenario. Adaptive tracking loops adjust these settings to achieve optimal performance for a given scenario. This paper evaluates the performance and complexity of state-of-the-art adaptive scalar tracking techniques used in modern digital GNSS receivers. Ideally, a tracking channel should be adjusted to both noisy and dynamic environments for optimal performance, defined by tracking precision and loop robustness. The difference between the average tracking jitter of the discriminator’s output and the square-root Cramér-Rao bound (CRB) indicates the loops’ tracking capability. The ability to maintain lock characterizes the robustness in highly dynamic scenarios. From a system perspective, the average lock indicator is chosen as a metric to measure the performance in terms of precision, whereas the average number of visible satellites being tracked indicates the system’s robustness against dynamics. The average of these metrics’ product at different noise levels leads to a reliable system performance metric. Adaptive tracking techniques, such as the fast adaptive bandwidth (FAB), the fuzzy logic (FL), and the loop-bandwidth control algorithm (LBCA), facilitate a trade-off for optimal performance. These adaptive tracking techniques are implemented in an open software interface GNSS hardware receiver. All three methods steer a third-order adaptive phase locked loop (PLL) and are tested in simulated scenarios emulating static and high-dynamic vehicular conditions. The measured tracking performance, system performance, and time complexity of each algorithm present a detailed analysis of the adaptive techniques. The results show that the LBCA with a piece-wise linear approximation is above the other adaptive loop-bandwidth tracking techniques while preserving the best performance and lowest time complexity. This technique achieves superior static and dynamic system performance being 1.5 times more complex than the traditional tracking loop.

show abstract

Design and Implementation of a Real Time BDS Scalar-Vector Tracking Receiver

Deng

Lian

2020

China Satellite Navigation Conference (CSNC) 2020 Proceedings: Volume III

View full text Add to dashboard Cite

Real time implementation of Vector Delay Lock Loop on a GNSS receiver hardware with an open software interface

Cited by 5 publications

References 2 publications

Quad-Band Multi-Constellation Global Navigation Satellite System Receiver Development Platform with System-on-Chip Architecture

Quad-Band Multi-Constellation Global Navigation Satellite System Receiver Development Platform with System-on-Chip Architecture

Evaluation of Adaptive Loop-Bandwidth Tracking Techniques in GNSS Receivers

Design and Implementation of a Real Time BDS Scalar-Vector Tracking Receiver

Contact Info

Product

Resources

About