2017 International Conference on Military Technologies (ICMT) 2017
DOI: 10.1109/miltechs.2017.7988830
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Drone detection by Ku-band battlefield radar

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Cited by 46 publications
(26 citation statements)
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“…Considering the radar sensor, the detection probability of the radar sensor is the signal-to-noise (SNR) ratio function related to the false alarm probability, which is challenging to be solved accurately due to the complicated theoretical calculation [24], [25]. In the case of low requirement for detection accuracy, the empirical formula used to fit the simplified detection probability by distance.…”
Section: Detection Probability Of Sensormentioning
confidence: 99%
“…Considering the radar sensor, the detection probability of the radar sensor is the signal-to-noise (SNR) ratio function related to the false alarm probability, which is challenging to be solved accurately due to the complicated theoretical calculation [24], [25]. In the case of low requirement for detection accuracy, the empirical formula used to fit the simplified detection probability by distance.…”
Section: Detection Probability Of Sensormentioning
confidence: 99%
“…Propositions using narrow beam FMCW radar to cover specific area are discussed in (Drozdowicz et al, 2016). As for pulse radar, field trials for small UAV detection using pulse coherent short range battlefield radar are reported in Ochodnický, Matoušek, Babjak, and Kurty (2017).…”
Section: Radar Detectionmentioning
confidence: 99%
“…The study is oriented on theoretical analysis of the detection probability versus Signal Noise Ratio (SNR) for the UAVs with low RCS. The experiment is detailed in [9].…”
Section: Uav Detectionmentioning
confidence: 99%