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NASA Technical Reports Server (NTRS) 20170009465: Detection |
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by NASA Technical Reports Server (NTRS) |
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Small unmanned aircraft systems (UASs) are expected to |
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take major roles in future smart cities, for example, by |
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delivering goods and merchandise, potentially serving as |
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mobile hot spots for broadband wireless access, and |
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maintaining surveillance and security. Although they can |
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be used for the betterment of the society, they can also |
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be used by malicious entities to conduct physical and |
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cyber attacks to infrastructure, private/public property, |
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and people. Even for legitimate use-cases of small UASs, |
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air traffic management (ATM) for UASs becomes of critical |
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importance for maintaining safe and collusion-free |
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operation. Therefore, various ways to detect, track, and |
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interdict potentially unauthorized drones carries |
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critical importance for surveillance and ATM |
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applications. In this paper, we will review techniques |
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that rely on ambient radio frequency signals (emitted |
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from UASs), radars, acoustic sensors, and computer vision |
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techniques for detection of malicious UASs. We will |
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present some early experimental and simulation results on |
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radar-based range estimation of UASs, and receding |
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horizon tracking of UASs. Subsequently, we will overview |
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common techniques that are considered for interdiction of |
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UASs. |
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Date Published: 2022-06-30 17:07:50 |
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Identifier: NASA_NTRS_Archive_20170009465 |
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Item Size: 12700906 |
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Language: english |
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Media Type: texts |
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