| Autor: |
Nam-Hoon Jeong, Min Kim, Jae-Ho Choi, Kyung-Tae Kim |
| Jazyk: |
angličtina |
| Rok vydání: |
2023 |
| Předmět: |
|
| Zdroj: |
IEEE Access, Vol 11, Pp 35796-35807 (2023) |
| Druh dokumentu: |
article |
| ISSN: |
2169-3536 |
| DOI: |
10.1109/ACCESS.2023.3265801 |
| Popis: |
This study developed a radar resource management (RRM) framework for maritime multifunctional radar (MFR) that performs surveillance and tracking of unknown targets. The proposed scheme consists of two stages: target prioritization based on fuzzy logic and a beam scheduling approach that transmits surveillance beam and tracking beams for each target appropriately. The proposed beam scheduling scheme also takes into account the imperfect detection of targets in real situation. A conventional heuristic beam scheduling approach was modified to incorporate binary integration in radar theory into the RRM strategy. The resulting scheme efficiently handles the complicated beam scheduling problem by considering the target priority as well as the imperfect detection of targets of a real maritime MFR. Simulation results based on a realistic maritime environment demonstrated that the proposed scheme not only determines the correct order of transmission beams according to the target priority but also maintains good tracking accuracy for the threatening target. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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