Modelling and Simulation of Collaborative Surveillance for Unmanned Traffic Management

Sensors

David Carramiñana¹  Ivan Campaña¹  Ana M. Bernardos¹  Juan A. Besada¹  Luca Bergesio¹ 

[1] Information Processing and Telecommunications Center, Universidad Politécnica de Madrid, 28040 Madrid, Spain;

关键词: unmanned traffic management;    unmanned aerial system;    Remote-ID;    ADS-B;    FLARM;    drone telemetry;   

DOI  :  10.3390/s22041498

来源: DOAJ

【 摘 要 】

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.

【 授权许可】

Unknown