On Mitigating the Effects of Multipath on GNSS Using Environmental Context Detection
Accurate, ubiquitous and reliable navigation can make transportation systems (road, rail, air and marine) more efficient, safer and more sustainable by enabling path planning, route optimization and fuel economy optimization. However, accurate navigation in urban contexts has always been a challengi...
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| Format: | Article |
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MDPI AG
2022-12-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/12/23/12389 |
| _version_ | 1797463553614020608 |
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| author | Arif Hussain Arslan Ahmed Madad Ali Shah Sunny Katyara Lukasz Staszewski Hina Magsi |
| author_facet | Arif Hussain Arslan Ahmed Madad Ali Shah Sunny Katyara Lukasz Staszewski Hina Magsi |
| author_sort | Arif Hussain |
| collection | DOAJ |
| description | Accurate, ubiquitous and reliable navigation can make transportation systems (road, rail, air and marine) more efficient, safer and more sustainable by enabling path planning, route optimization and fuel economy optimization. However, accurate navigation in urban contexts has always been a challenging task due to significant chances of signal blockage and multipath and non-line-of-sight (NLOS) signal reception. This paper presents a detailed study on environmental context detection using GNSS signals and its utilization in mitigating multipath effects by devising a context-aware navigation (CAN) algorithm that detects and characterizes the working environment of a GNSS receiver and applies the desired mitigation strategy accordingly. The CAN algorithm utilizes GNSS measurement variables to categorize the environment into standard, degraded and highly degraded classes and then updates the receiver’s tracking-loop parameters based on the inferred environment. This allows the receiver to adaptively mitigate the effects of multipath/NLOS, which inherently depend upon the type of environment. To validate the functionality and potential of the proposed CAN algorithm, a detailed study on the performance of a multi-GNSS receiver in the quad-constellation mode, i.e., GPS, BeiDou, Galileo and GLONASS, is conducted in this research by traversing an instrumented vehicle around an urban city and acquiring respective GNSS signals in different environments. The performance of a CAN-enabled GNSS receiver is compared with a standard receiver using fundamental quality indicators of GNSS. The experimental results show that the proposed CAN algorithm is a good contributor for improving GNSS performance by anticipating the potential degradation and initiating an adaptive mitigation strategy. The CAN-enabled GNSS receiver achieved a lane-level accuracy of less than 2 m for 53% of the total experimental time-slot in a highly degraded environment, which was previously only 32% when not using the proposed CAN. |
| first_indexed | 2024-03-09T17:52:21Z |
| format | Article |
| id | doaj.art-809c691728d74a82882de81bf9686136 |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-09T17:52:21Z |
| publishDate | 2022-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-809c691728d74a82882de81bf96861362023-11-24T10:35:43ZengMDPI AGApplied Sciences2076-34172022-12-0112231238910.3390/app122312389On Mitigating the Effects of Multipath on GNSS Using Environmental Context DetectionArif Hussain0Arslan Ahmed1Madad Ali Shah2Sunny Katyara3Lukasz Staszewski4Hina Magsi5Department of Electronics Engineering Technology, The Benazir Bhutto Shaheed University of Technology & Skill Development, Khairpur Mirs 66020, PakistanDepartment of Electrical Engineering, Sukkur IBA University, Sukkur 65200, PakistanDepartment of Electrical Engineering, Sukkur IBA University, Sukkur 65200, PakistanDepartment of Electrical Engineering, Sukkur IBA University, Sukkur 65200, PakistanDepartment of Electrical Power Engineering, Wroclaw University of Science & Technology, 50370 Wroclaw, PolandDepartment of Electrical Engineering, Sukkur IBA University, Sukkur 65200, PakistanAccurate, ubiquitous and reliable navigation can make transportation systems (road, rail, air and marine) more efficient, safer and more sustainable by enabling path planning, route optimization and fuel economy optimization. However, accurate navigation in urban contexts has always been a challenging task due to significant chances of signal blockage and multipath and non-line-of-sight (NLOS) signal reception. This paper presents a detailed study on environmental context detection using GNSS signals and its utilization in mitigating multipath effects by devising a context-aware navigation (CAN) algorithm that detects and characterizes the working environment of a GNSS receiver and applies the desired mitigation strategy accordingly. The CAN algorithm utilizes GNSS measurement variables to categorize the environment into standard, degraded and highly degraded classes and then updates the receiver’s tracking-loop parameters based on the inferred environment. This allows the receiver to adaptively mitigate the effects of multipath/NLOS, which inherently depend upon the type of environment. To validate the functionality and potential of the proposed CAN algorithm, a detailed study on the performance of a multi-GNSS receiver in the quad-constellation mode, i.e., GPS, BeiDou, Galileo and GLONASS, is conducted in this research by traversing an instrumented vehicle around an urban city and acquiring respective GNSS signals in different environments. The performance of a CAN-enabled GNSS receiver is compared with a standard receiver using fundamental quality indicators of GNSS. The experimental results show that the proposed CAN algorithm is a good contributor for improving GNSS performance by anticipating the potential degradation and initiating an adaptive mitigation strategy. The CAN-enabled GNSS receiver achieved a lane-level accuracy of less than 2 m for 53% of the total experimental time-slot in a highly degraded environment, which was previously only 32% when not using the proposed CAN.https://www.mdpi.com/2076-3417/12/23/12389GNSSmultipath traversingcontext detectionadaptive mitigation |
| spellingShingle | Arif Hussain Arslan Ahmed Madad Ali Shah Sunny Katyara Lukasz Staszewski Hina Magsi On Mitigating the Effects of Multipath on GNSS Using Environmental Context Detection Applied Sciences GNSS multipath traversing context detection adaptive mitigation |
| title | On Mitigating the Effects of Multipath on GNSS Using Environmental Context Detection |
| title_full | On Mitigating the Effects of Multipath on GNSS Using Environmental Context Detection |
| title_fullStr | On Mitigating the Effects of Multipath on GNSS Using Environmental Context Detection |
| title_full_unstemmed | On Mitigating the Effects of Multipath on GNSS Using Environmental Context Detection |
| title_short | On Mitigating the Effects of Multipath on GNSS Using Environmental Context Detection |
| title_sort | on mitigating the effects of multipath on gnss using environmental context detection |
| topic | GNSS multipath traversing context detection adaptive mitigation |
| url | https://www.mdpi.com/2076-3417/12/23/12389 |
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