Modelling and Simulation of Collaborative Surveillance for Unmanned Traffic Management
Unmanned traffic management (UTM) systems rely on collaborative position reporting to track unmanned aerial system (UAS) operations over wide unsurveilled (with counter-UAS systems) areas. Many different technologies, such as Remote-ID, ADS-B, FLARM, or MLAT might be used for this purpose, in additi...
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-02-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/22/4/1498 |
| _version_ | 1797476707362406400 |
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| author | Juan A. Besada David Carramiñana Luca Bergesio Ivan Campaña Ana M. Bernardos |
| author_facet | Juan A. Besada David Carramiñana Luca Bergesio Ivan Campaña Ana M. Bernardos |
| author_sort | Juan A. Besada |
| collection | DOAJ |
| description | Unmanned traffic management (UTM) systems rely on collaborative position reporting to track unmanned aerial system (UAS) operations over wide unsurveilled (with counter-UAS systems) areas. Many different technologies, such as Remote-ID, ADS-B, FLARM, or MLAT might be used for this purpose, in addition to the direct exploitation of C2 telemetry, relayed though cellular networks. This paper provides an overview of the most used collaborative sensors and surveillance systems in this context, analyzing their main technical parameters and performance effects. In addition, this paper proposes an abstracted general statistical simulation model covering message encoding, network capacity and access, sensors coverage and distribution, message transmission and decoding. Making use of this abstracted model, this paper proposes a particularized set of simulation models for ADS-B, FLARM and Remote-Id; it is thus useful to test their potential integration in UTM systems. Finally, a comparative analysis, based on simulation, of these systems, is performed. It is shown that the most relevant effects are those related with quantification and the potential saturation of the communication channels leading to collisions and delays. |
| first_indexed | 2024-03-09T21:06:30Z |
| format | Article |
| id | doaj.art-b9a2e15f4b104e55bd5292a31cd3189c |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-09T21:06:30Z |
| publishDate | 2022-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-b9a2e15f4b104e55bd5292a31cd3189c2023-11-23T22:00:31ZengMDPI AGSensors1424-82202022-02-01224149810.3390/s22041498Modelling and Simulation of Collaborative Surveillance for Unmanned Traffic ManagementJuan A. Besada0David Carramiñana1Luca Bergesio2Ivan Campaña3Ana M. Bernardos4Information Processing and Telecommunications Center, Universidad Politécnica de Madrid, 28040 Madrid, SpainInformation Processing and Telecommunications Center, Universidad Politécnica de Madrid, 28040 Madrid, SpainInformation Processing and Telecommunications Center, Universidad Politécnica de Madrid, 28040 Madrid, SpainInformation Processing and Telecommunications Center, Universidad Politécnica de Madrid, 28040 Madrid, SpainInformation Processing and Telecommunications Center, Universidad Politécnica de Madrid, 28040 Madrid, SpainUnmanned traffic management (UTM) systems rely on collaborative position reporting to track unmanned aerial system (UAS) operations over wide unsurveilled (with counter-UAS systems) areas. Many different technologies, such as Remote-ID, ADS-B, FLARM, or MLAT might be used for this purpose, in addition to the direct exploitation of C2 telemetry, relayed though cellular networks. This paper provides an overview of the most used collaborative sensors and surveillance systems in this context, analyzing their main technical parameters and performance effects. In addition, this paper proposes an abstracted general statistical simulation model covering message encoding, network capacity and access, sensors coverage and distribution, message transmission and decoding. Making use of this abstracted model, this paper proposes a particularized set of simulation models for ADS-B, FLARM and Remote-Id; it is thus useful to test their potential integration in UTM systems. Finally, a comparative analysis, based on simulation, of these systems, is performed. It is shown that the most relevant effects are those related with quantification and the potential saturation of the communication channels leading to collisions and delays.https://www.mdpi.com/1424-8220/22/4/1498unmanned traffic managementunmanned aerial systemRemote-IDADS-BFLARMdrone telemetry |
| spellingShingle | Juan A. Besada David Carramiñana Luca Bergesio Ivan Campaña Ana M. Bernardos Modelling and Simulation of Collaborative Surveillance for Unmanned Traffic Management Sensors unmanned traffic management unmanned aerial system Remote-ID ADS-B FLARM drone telemetry |
| title | Modelling and Simulation of Collaborative Surveillance for Unmanned Traffic Management |
| title_full | Modelling and Simulation of Collaborative Surveillance for Unmanned Traffic Management |
| title_fullStr | Modelling and Simulation of Collaborative Surveillance for Unmanned Traffic Management |
| title_full_unstemmed | Modelling and Simulation of Collaborative Surveillance for Unmanned Traffic Management |
| title_short | Modelling and Simulation of Collaborative Surveillance for Unmanned Traffic Management |
| title_sort | modelling and simulation of collaborative surveillance for unmanned traffic management |
| topic | unmanned traffic management unmanned aerial system Remote-ID ADS-B FLARM drone telemetry |
| url | https://www.mdpi.com/1424-8220/22/4/1498 |
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