In the last years, the commercial drone/unmanned aerial vehicles market has grown due to\ntheir technological performances (provided by the multiple onboard available sensors), low price,\nand ease of use. Being very attractive for an increasing number of applications, their presence\nrepresents a major issue for public or classified areas with a special status, because of the rising\nnumber of incidents. Our paper proposes a new approach for the drone movement detection and\ncharacterization based on the ultra-wide band (UWB) sensing system and advanced signal processing\nmethods. This approach characterizes the movement of the drone using classical methods such\nas correlation, envelope detection, time-scale analysis, but also a new method, the recurrence plot\nanalysis. The obtained results are compared in terms of movement map accuracy and required\ncomputation time in order to offer a future starting point for the drone intrusion detection.
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