Ground Vehicle Navigation Integrity Monitoring for Multi-Constellation GNSS Fused with Cellular Signals of Opportunity

Mu Jia; Halim Lee; Joe Khalife; Zaher M. Kassas; Jiwon Seo

doi:10.1109/ITSC48978.2021.9564686

Ground Vehicle Navigation Integrity Monitoring for Multi-Constellation GNSS Fused with Cellular Signals of Opportunity

Mu Jia, Halim Lee, Joe Khalife, Zaher M. Kassas, Jiwon Seo

School of Integrated Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

14 Citations (Scopus)

Abstract

Integrity monitoring of a ground vehicle navigation system, utilizing multi-constellation global navigation satellite systems (GNSS) signals fused with ambient cellular signals of opportunity (SOPs) is considered. An advanced receiver autonomous integrity monitoring (ARAIM) framework is developed to detect and exclude multipath and non-line-of-sight errors. A method to conservatively predict the horizontal protection level (HPL) is proposed, utilizing ray-tracing and channel impulse response prediction in a three-dimensional (3D) building map of the environment. Simulation results are presented demonstrating the conservatively predicted HPL with different signals (GPS-only, GPS +GLONASS, GPS+SOP , and GPS+GLONASS+SOP). Experimental results are presented for a ground vehicle navigating a trajectory of 1380 m in an urban environment, showing the availability rates for GPS-only, GPS +GLONASS, GPS+SOP, and GPS +GLONASS+SOP being 52.53%, 75.66%, 76.87%, and 80.72%, respectively.

Original language	English
Title of host publication	2021 IEEE International Intelligent Transportation Systems Conference, ITSC 2021
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	3978-3983
Number of pages	6
ISBN (Electronic)	9781728191423
DOIs	https://doi.org/10.1109/ITSC48978.2021.9564686
Publication status	Published - 2021 Sept 19
Event	2021 IEEE International Intelligent Transportation Systems Conference, ITSC 2021 - Indianapolis, United States Duration: 2021 Sept 19 → 2021 Sept 22

Publication series

Name	IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC
Volume	2021-September

Conference

Conference	2021 IEEE International Intelligent Transportation Systems Conference, ITSC 2021
Country/Territory	United States
City	Indianapolis
Period	21/9/19 → 21/9/22

Bibliographical note

Funding Information:
This work was supported in part by the U.S. Department of Transportation (USDOT) under Grant 69A3552047138 for the CARMEN University Transportation Center (UTC) and in part by the National Science Foundation (NSF) under Grant 1929965.

Publisher Copyright:
© 2021 IEEE.

All Science Journal Classification (ASJC) codes

Automotive Engineering
Mechanical Engineering
Computer Science Applications

Access to Document

10.1109/ITSC48978.2021.9564686

Cite this

Jia, M., Lee, H., Khalife, J., Kassas, Z. M., & Seo, J. (2021). Ground Vehicle Navigation Integrity Monitoring for Multi-Constellation GNSS Fused with Cellular Signals of Opportunity. In 2021 IEEE International Intelligent Transportation Systems Conference, ITSC 2021 (pp. 3978-3983). (IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC; Vol. 2021-September). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ITSC48978.2021.9564686

Jia, Mu ; Lee, Halim ; Khalife, Joe et al. / Ground Vehicle Navigation Integrity Monitoring for Multi-Constellation GNSS Fused with Cellular Signals of Opportunity. 2021 IEEE International Intelligent Transportation Systems Conference, ITSC 2021. Institute of Electrical and Electronics Engineers Inc., 2021. pp. 3978-3983 (IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC).

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abstract = "Integrity monitoring of a ground vehicle navigation system, utilizing multi-constellation global navigation satellite systems (GNSS) signals fused with ambient cellular signals of opportunity (SOPs) is considered. An advanced receiver autonomous integrity monitoring (ARAIM) framework is developed to detect and exclude multipath and non-line-of-sight errors. A method to conservatively predict the horizontal protection level (HPL) is proposed, utilizing ray-tracing and channel impulse response prediction in a three-dimensional (3D) building map of the environment. Simulation results are presented demonstrating the conservatively predicted HPL with different signals (GPS-only, GPS +GLONASS, GPS+SOP , and GPS+GLONASS+SOP). Experimental results are presented for a ground vehicle navigating a trajectory of 1380 m in an urban environment, showing the availability rates for GPS-only, GPS +GLONASS, GPS+SOP, and GPS +GLONASS+SOP being 52.53%, 75.66%, 76.87%, and 80.72%, respectively.",

author = "Mu Jia and Halim Lee and Joe Khalife and Kassas, {Zaher M.} and Jiwon Seo",

note = "Funding Information: This work was supported in part by the U.S. Department of Transportation (USDOT) under Grant 69A3552047138 for the CARMEN University Transportation Center (UTC) and in part by the National Science Foundation (NSF) under Grant 1929965. Publisher Copyright: {\textcopyright} 2021 IEEE.; 2021 IEEE International Intelligent Transportation Systems Conference, ITSC 2021 ; Conference date: 19-09-2021 Through 22-09-2021",

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Jia, M, Lee, H, Khalife, J, Kassas, ZM & Seo, J 2021, Ground Vehicle Navigation Integrity Monitoring for Multi-Constellation GNSS Fused with Cellular Signals of Opportunity. in 2021 IEEE International Intelligent Transportation Systems Conference, ITSC 2021. IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC, vol. 2021-September, Institute of Electrical and Electronics Engineers Inc., pp. 3978-3983, 2021 IEEE International Intelligent Transportation Systems Conference, ITSC 2021, Indianapolis, United States, 21/9/19. https://doi.org/10.1109/ITSC48978.2021.9564686

Ground Vehicle Navigation Integrity Monitoring for Multi-Constellation GNSS Fused with Cellular Signals of Opportunity. / Jia, Mu; Lee, Halim; Khalife, Joe et al.
2021 IEEE International Intelligent Transportation Systems Conference, ITSC 2021. Institute of Electrical and Electronics Engineers Inc., 2021. p. 3978-3983 (IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC; Vol. 2021-September).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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AU - Jia, Mu

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AU - Khalife, Joe

AU - Kassas, Zaher M.

AU - Seo, Jiwon

N1 - Funding Information: This work was supported in part by the U.S. Department of Transportation (USDOT) under Grant 69A3552047138 for the CARMEN University Transportation Center (UTC) and in part by the National Science Foundation (NSF) under Grant 1929965. Publisher Copyright: © 2021 IEEE.

PY - 2021/9/19

Y1 - 2021/9/19

N2 - Integrity monitoring of a ground vehicle navigation system, utilizing multi-constellation global navigation satellite systems (GNSS) signals fused with ambient cellular signals of opportunity (SOPs) is considered. An advanced receiver autonomous integrity monitoring (ARAIM) framework is developed to detect and exclude multipath and non-line-of-sight errors. A method to conservatively predict the horizontal protection level (HPL) is proposed, utilizing ray-tracing and channel impulse response prediction in a three-dimensional (3D) building map of the environment. Simulation results are presented demonstrating the conservatively predicted HPL with different signals (GPS-only, GPS +GLONASS, GPS+SOP , and GPS+GLONASS+SOP). Experimental results are presented for a ground vehicle navigating a trajectory of 1380 m in an urban environment, showing the availability rates for GPS-only, GPS +GLONASS, GPS+SOP, and GPS +GLONASS+SOP being 52.53%, 75.66%, 76.87%, and 80.72%, respectively.

AB - Integrity monitoring of a ground vehicle navigation system, utilizing multi-constellation global navigation satellite systems (GNSS) signals fused with ambient cellular signals of opportunity (SOPs) is considered. An advanced receiver autonomous integrity monitoring (ARAIM) framework is developed to detect and exclude multipath and non-line-of-sight errors. A method to conservatively predict the horizontal protection level (HPL) is proposed, utilizing ray-tracing and channel impulse response prediction in a three-dimensional (3D) building map of the environment. Simulation results are presented demonstrating the conservatively predicted HPL with different signals (GPS-only, GPS +GLONASS, GPS+SOP , and GPS+GLONASS+SOP). Experimental results are presented for a ground vehicle navigating a trajectory of 1380 m in an urban environment, showing the availability rates for GPS-only, GPS +GLONASS, GPS+SOP, and GPS +GLONASS+SOP being 52.53%, 75.66%, 76.87%, and 80.72%, respectively.

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Jia M, Lee H, Khalife J, Kassas ZM, Seo J. Ground Vehicle Navigation Integrity Monitoring for Multi-Constellation GNSS Fused with Cellular Signals of Opportunity. In 2021 IEEE International Intelligent Transportation Systems Conference, ITSC 2021. Institute of Electrical and Electronics Engineers Inc. 2021. p. 3978-3983. (IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC). doi: 10.1109/ITSC48978.2021.9564686

Ground Vehicle Navigation Integrity Monitoring for Multi-Constellation GNSS Fused with Cellular Signals of Opportunity

Abstract

Publication series

Conference

Bibliographical note

All Science Journal Classification (ASJC) codes

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