Using Classify-While-Scan (CWS) Technology to Enhance Unmanned Air Traffic Management (UTM)
Using Classify-While-Scan (CWS) Technology to Enhance Unmanned Air Traffic Management (UTM)
- Neue Suche nach: Jiangkun Gong
- Neue Suche nach: Deren Li
- Neue Suche nach: Jun Yan
- Neue Suche nach: Huiping Hu
- Neue Suche nach: Deyong Kong
- Neue Suche nach: Jiangkun Gong
- Neue Suche nach: Deren Li
- Neue Suche nach: Jun Yan
- Neue Suche nach: Huiping Hu
- Neue Suche nach: Deyong Kong
Drone detection radar systems have been verified for supporting unmanned air traffic management (UTM). Here, we propose the concept of classify while scan (CWS) technology to improve the detection performance of drone detection radar systems and then to enhance UTM application. The CWS recognizes the radar data of each radar cell in the radar beam using advanced automatic target recognition (ATR) algorithm and then integrates the recognized results into the tracking unit to obtain the real-time situational awareness results of the whole surveillance area. Real X-band radar data collected in a coastal environment demonstrate significant advancement in a powerful situational awareness scenario in which birds were chasing a ship to feed on fish. CWS technology turns a drone detection radar into a sense-and-alert planform that revolutionizes UTM systems by reducing the Detection Response Time (DRT) in the detection unit.
Dokumentinformationen
Using Classify-While-Scan (CWS) Technology to Enhance Unmanned Air Traffic Management (UTM)
2022
Aufsatz (Zeitschrift)
Elektronische Ressource
Unbekannt
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