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Evaluation of Electromagnetic Interference Between Electromagnetic Noise from an Autonomous Vehicle and GPS Signals | IEEE Conference Publication | IEEE Xplore

Evaluation of Electromagnetic Interference Between Electromagnetic Noise from an Autonomous Vehicle and GPS Signals


Abstract:

Autonomous vehicles such as drones and self-driving cars have been used in recent years. Many autonomous vehicles use the global positioning system (GPS) to acquire locat...Show More

Abstract:

Autonomous vehicles such as drones and self-driving cars have been used in recent years. Many autonomous vehicles use the global positioning system (GPS) to acquire location data, which requires high accuracy. On the other hand, electromagnetic (EM) environment inside the autonomous vehicle is complicated since EM noise sources and a GPS antenna are densely mounted. This environment may degrade the accuracy of positioning measurements by EM interference between EM noise and GPS signals. Previous studies have reported the interference of EM noise with global navigation satellite system (GNSS) and with the mobile communications used by drones. Evaluations and countermeasures for the EM interference problems are necessary since the accuracy degradation of positioning measurements may lead to contact accidents between aircraft. In this study, we evaluated the EM interference between EM noise and GPS signals. There are two setups for the evaluation, the actual setup using a GPS receiver module and the simulation setup. These two evaluation setups were confirmed to be quantitative and reliable by the EM interference evaluation using random noise. Finally, we evaluated the impact of EM interference by EM noise from a commercial drone, one of the autonomous vehicles, on the GPS receiving sensitivity. The sensitivity degraded by about 10 dB in the actual evaluation and by about 11 dB in the simulation evaluation. This result shows that the EM noise from autonomous vehicles has a huge impact on the sensitivity of GPS.
Date of Conference: 20-24 May 2024
Date Added to IEEE Xplore: 11 July 2024
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Conference Location: Ginowan, Okinawa, Japan
References is not available for this document.

I. Introduction

Autonomous vehicles such as drones and self-driving cars have been used in recent years [1, 2]. Many of these obtain location data from the global positioning system (GPS). High accuracy of positioning measurements is required for autonomous vehicles since they avoid obstacles and choose routes using the location data. However, the accuracy of positioning measurements may be degraded by the interference of EM noise inside the autonomous vehicle. In the first place, electronic devices inside the autonomous vehicle emit unintentional EM noise, which tends to increase and become more broadband as autonomous vehicles have evolved with higher functionality. Here, the electronic devices and a GPS antenna are densely mounted inside autonomous vehicles. Thus, EM interference between EM noise and GPS signals can occur inside the autonomous vehicle, which may lead to the accuracy degradation of positioning measurements. In fact, previous studies have reported the interference of EM noise with global navigation satellite system (GNSS) [3] and with the mobile communications used by drones [4]. In addition, since the frequency bandwidths allocated to GPS and mobile communications are closer to each other, the interference problems become more prominent. Evaluations and countermeasures for the EM interference problems are necessary since the accuracy degradation of positioning measurements may lead to avoid accidents among vehicles relying on wireless communication for autonomous operation.

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1.
D. Fagnant and K. Kockelman, "Preparing a nation for autonomous vehicles: opportunities barriers and policy recommendations", Transportation Research Part A: Policy and Practice, vol. 77, pp. 167-181, 2015.
2.
F. Mohammed, A. Idries, N. Mohamed, J. Al-Jaroodi and I. Jawhar, "UAVs for smart cities: Opportunities and challenges", 2014 International Conference on Unmanned Aircraft Systems (ICUAS), pp. 267-273, 2014.
3.
G. MacGougan, G. Lachapelle, R. Nayak and A. Wang, "Overview of GNS Signal Degradation Phenomena", Proceedings of the International Symposium on Kinimatic in Geodesy Geomatics and Navigation, pp. 87-100, June 5-8.
4.
K. Watanabe, M. Aoi, M. Komatsu, S. Tanaka and M. Nagata, "Noise Evaluation nearby a Compact Drone", IEICE Technical Report, vol. 121, no. 81, pp. 30-33, 7 2021.
5.
P. Misra and P. Enge, Positioning System: Signal Measurements and Performance, Granga-Jamuna Press, pp. 65-86, 2010.
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References

References is not available for this document.