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Drone RCS Statistical Behaviour and its Implications for Agriculture Drones Air Traffic Management

Year: 2025

Type: article

Abstract: This paper explores UAS (copter-type drone) radar cross-section behaviour impactingdrone traffic control support by independent surveillance. The proliferationof drone traffic worldwide includes agriculture and state challenges in airspacesafety. Dependent surveillance based on data communication is susceptiveto cyber-attacks and should be augmented by more reliable methods. Primaryradars are capable of providing relevant data for safety enforcement. Radar observationis challenged by small RCSs, influenced by copter flight behaviour.The paper further presents the measurement and analysis results of several UAVRadar Cross Sections (RCS), focusing on different flight parameters, such aspitch and roll. Understanding RCS statistical behaviour is crucial for primary radardrone detection. Insights into RCS fluctuations can enhance drone surveillanceand drone traffic control for agricultural applications.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.15406432

Authors: Pidanic, Jan, Šedivý, Pavel, Trivedi, Gaurav, Paine, Stephen

Institutions: University of Pardubice, Indian Institute of Technology Guwahati, University of Cape Town

Language: English

Topic: Radar Systems and Signal Processing

Subfield: Aerospace Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W6893112136

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