Cognitive Radar as a Result of Use of Artificial Intelligence Achievements in Adaptive Radar

Sachuk, Ihor; Бідун, А.К.; Bortnovskyi, Serhii A.

doi:10.1109/picst54195.2021.9772131

Cited by 2 publications

(2 citation statements)

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“…The processing for cognitive radar includes sensing the environment and adjusting the transmission and reception parameters of the radar accordingly [91]. The adjustment of transmission and reception parameters of the radar systems can be carried out cognitively using AI [92]. Furthermore, different AI algorithms are available for the detection and classification of an aerial vehicle [93], [94].…”

Section: Signal Processing Techniquesmentioning

confidence: 99%

A Survey on Radar Techniques for Detection,Tracking, and Classification of Aerial Threats

Khawaja¹

2022

Preprint

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<p> The use of unmanned aerial vehicles (UAVs) for different applications has increased many folds in recent years. The UAVs are expected to change the future air operations. However, there are instances where the UAVs can be used for malicious purposes. The detection, tracking, and classification of UAVs is challenging compared to manned aerial vehicles (MAVs) mainly due to small size, complex shapes, and ability to fly close to the terrain and in autonomous flight patterns in swarms. In this survey, we will discuss current and future aerial threats, and provide an overview of radar systems to counter such threats. We also study the performance parameters of radar systems for the detection, tracking, and classification of UAVs compared to MAVs. Finally, limitations of radar systems and comparison with other techniques that do not rely on radars for detection, tracking, and classification of aerial threats are also provided. </p>

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