Analysis of the Signals of Opportunity and Cooperative Based Positioning for UAS Navigation in Deep Urban Area

Kim, Euiho; Shin, Yujin

doi:10.1109/icnsurv.2019.8735152

Cited by 4 publications

(2 citation statements)

References 10 publications

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“…The signals of opportunity method is not a new technique. It was already used for different purposes such as improving navigation accuracy [11], and mobile positioning in urban environments [12]. Signals of opportunity were already utilized in measuring the SE of big buildings.…”

Section: B Random-walk and Signals Of Opportunity Methodsmentioning

confidence: 99%

Intrusion Detection and Shielding Measurements using Signals of Opportunity

Aba,

Vogt-Ardatjew,

Leferink

2023

2023 International Symposium on Electromagnetic Compatibility – EMC Europe

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Shielding effectiveness measurements of big structures such as information security centers, safe rooms, and nuclear power plants can be challenging because they can be time-consuming, costly, and difficult to apply. Since the shielding effectiveness is a critical parameter for such structures, the measurements are needed to be repeated periodically, especially for TEMPEST shielded rooms. This study proposes an improvement to shielding effectiveness measurements utilizing signals of opportunity. In this technique, different from the classical measurement methods, the strengths of already-existing-signals in the given environment are used instead of purposely generating them with dedicated hardware. By taking the differences between the measurements performed inside and outside a cabinet, or a room, a quick estimation can be made for the shielding effectiveness. The technique can be applied to evaluate the deterioration of shielding or as a watchdog for intrusion detection. The paper concluded with a discussion of the pros and cons of the method.

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Section: B Random-walk and Signals Of Opportunity Methodsmentioning

confidence: 99%

Intrusion Detection and Shielding Measurements using Signals of Opportunity

Aba,

Vogt-Ardatjew,

Leferink

2023

2023 International Symposium on Electromagnetic Compatibility – EMC Europe

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“…Therefore, it would be advantageous for UAS if the LTE module required for UTM communication could also serve as a back-up positioning sensor. However, LTE alone may not be able to provide sufficient positioning capability for UAS to safely fly at a low altitude of an urban canyon due to the relatively poor ranging accuracy of LTE compared to GNSS [25]. Thus, it is necessary that other sensors augment LTE to obtain better positioning accuracy of UAS in urban areas.…”

Section: Introductionmentioning

confidence: 99%

Feasibility Analysis of LTE-Based UAS Navigation in Deep Urban Areas and DSRC Augmentation

Kim

Shin

2019

Sensors

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The current autonomous navigation of unmanned aircraft systems (UAS) heavily depends on Global Navigation Satellite Systems (GNSS). However, in challenging environments, such as deep urban areas, GNSS signals can be easily interrupted, so that UAS may lose navigation capability at any instant. For urban positioning and navigation, Long Term Evolution (LTE) has been considered a promising signal of opportunity due to its dense network in urban areas, and there has recently been great advancement in LTE positioning technology. However, the current LTE positioning accuracy is found to be insufficient for safe UAS navigation in deep urban areas. This paper evaluates the positioning performance of the current network of LTE base stations in a selected deep urban area and investigates the effectiveness of LTE augmentations using dedicated short range communication (DSRC) transceivers through the optimization of the ground LTE/DSRC network and cooperative positioning among UAS. The analysis results based on simulation using an urban canyon model and signal line of sight propagations show that the addition of four or five DSRC transceivers to the existing LTE base station network could provide better than 4–6 m horizontal positioning accuracy (95%) in the selected urban canyon at a position of 150 ft above the ground, while a dense LTE network alone may result in a 15–20 m horizontal positioning error. Additionally, the simulation results of cooperative positioning with inter-UAS ranging measurements in the DSRC augmented LTE network were shown to provide horizontal positioning accuracy better than 1 m in most flight space, assuming negligible time-synchronization errors in inter-UAS ranging measurements.

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