Measurement error models and fault-detection algorithms for multi-constellation navigation systems

Joerger, Mathieu; Neale, J.; Pervan, Boris; Datta‐Barua, Seebany

doi:10.1109/plans.2010.5507228

Cited by 6 publications

(5 citation statements)

References 19 publications

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“…The intermediate parameters require for satellite position calculation is performed for satellite number 3 (PRN 3) and data is taken from YUMA almanac file 14 . Table 4 lists the input parameters require for calculation of satellite coordinates.…”

Section: Gnss Simulationmentioning

confidence: 99%

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Fusion of Onboard Sensors for Better Navigation

Shankar¹

2013

DSJ

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Section: Gnss Simulationmentioning

confidence: 99%

“…The almanac data is downloaded from the US coast guard navigation centre 13 . Ephemeries error model is used from reference 14 . Satellite's position and velocity are computed from equations defined in Appendix II.…”

mentioning

confidence: 99%

Fusion of Onboard Sensors for Better Navigation

Shankar¹

2013

DSJ

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“…In [3], the augmentation of GPS with LEO Iridium satellite signals provided signal redundancy and enabled fault-detection using carrier phase Advanced Receiver Autonomous Integrity Monitoring (ARAIM).…”

Section: Introductionmentioning

confidence: 99%

“…3 shows the maximum and minimum number of visible satellites for the 24 hour simulation period at each elevation mask.…”

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confidence: 99%

Fault-Free Integrity Analysis of Mega-Constellation-Augmented GNSS

Racelis¹,

Pervan²,

Joerger³

2019

Proceedings of the 32nd International Technical Meeting of the Satellite Division of the Institute of Navigation (ION GNSS+ 201

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“…where , is the critical azimuth zenith delay shown that PED varies considerably as a function of GNSS receivers' geodetic latitude, ℎ , longitude, ℎ , and time, , then the following expression of the zenith/slant ionospheric [2] delays and the ionospheric gradients along with MFs can be used to estimate the total asymmetrical ionospheric delay as [11], [62]- [66].…”

mentioning

confidence: 99%

The 4-Parameter Ionospheric Channel Model: Part 1�Theory and Simulation

Progri¹

2019

J. Geolo. Geo-inf. Geo-int.

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except for brief excerpts in connection with reviews or scholarly analysis. Use in connection with any form of information storage and retrieval, electronic adaptation, computer software or by similar or dissimilar methodology now known or hereafter developed is forbidden. The use of the publication of trade names, trademarks, service marks, or similar terms, even if they are not identified as such, is not to be taken as an expression of opinion as to whether or not they are subject to proprietary rights.The 1-parameter ionospheric channel model that is based on estimating the ionospheric delay is insufficient to enable the GNSS receiver to reliably acquire and track GNSS signals under severe ionospheric conditions. In order to solve this problem Giftet Inc. is proposing the 4-parameter ionospheric model. The 4-parameter ionospheric model is based on estimating four parameters: ionospheric delay, Doppler, amplitude, and phase scintillation. The 4-parameter ionospheric model i presents a revolutionary advancement of our understanding of the ionospheric effects in the RF signals. In order to accurately estimate the ionospheric Doppler we have performed some of the most amazing mathematical calculations.Afterwards, the theory and simulation, presented in this paper, are completely verified and accurately tested, the implementation thereof in a single frequency GNSS receiver will enable it to perform just as good as or even better than a differential GNSS receiver.

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Measurement error models and fault-detection algorithms for multi-constellation navigation systems

Cited by 6 publications

References 19 publications

Fusion of Onboard Sensors for Better Navigation

Fusion of Onboard Sensors for Better Navigation

Fault-Free Integrity Analysis of Mega-Constellation-Augmented GNSS

The 4-Parameter Ionospheric Channel Model: Part 1�Theory and Simulation

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