Adaptive Task Scheduling Algorithm for Multifunction Integrated System with Joint Radar–Communications Waveform
Joint radar–communications (JRC) waveform could enable simultaneously radar sensing and communication functions in a multifunction integrated system (MFIS). Because of the special JRC waveform characteristics of MFIS, the traditional task scheduling algorithm for multifunction phased array radar can...
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| Vydané v: | Electronics (Basel) Ročník 12; číslo 7; s. 1560 |
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| Jazyk: | English |
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Basel
MDPI AG
01.04.2023
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| ISSN: | 2079-9292, 2079-9292 |
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| Abstract | Joint radar–communications (JRC) waveform could enable simultaneously radar sensing and communication functions in a multifunction integrated system (MFIS). Because of the special JRC waveform characteristics of MFIS, the traditional task scheduling algorithm for multifunction phased array radar cannot be applied to the MFIS to release its full potential. Therefore, a novel adaptive task scheduling algorithm for JRC waveform enabled MFIS is proposed in the paper. Firstly, the modified JRC waveform scheduling criteria for MFIS are remodeled after establishing the multi-task models. Secondly, the task scheduling optimization problem, which can reflect the scheduling capability of the JRC waveform, is reformulated, and the proposed novel adaptive task scheduling algorithm based on the JRC waveform effectively schedules different kinds of tasks. Finally, the simulation results show that the proposed algorithm not only has a high JRC waveform scheduling capability but also provides better performance compared with the traditional ones. |
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| AbstractList | Joint radar–communications (JRC) waveform could enable simultaneously radar sensing and communication functions in a multifunction integrated system (MFIS). Because of the special JRC waveform characteristics of MFIS, the traditional task scheduling algorithm for multifunction phased array radar cannot be applied to the MFIS to release its full potential. Therefore, a novel adaptive task scheduling algorithm for JRC waveform enabled MFIS is proposed in the paper. Firstly, the modified JRC waveform scheduling criteria for MFIS are remodeled after establishing the multi-task models. Secondly, the task scheduling optimization problem, which can reflect the scheduling capability of the JRC waveform, is reformulated, and the proposed novel adaptive task scheduling algorithm based on the JRC waveform effectively schedules different kinds of tasks. Finally, the simulation results show that the proposed algorithm not only has a high JRC waveform scheduling capability but also provides better performance compared with the traditional ones. |
| Audience | Academic |
| Author | Wu, Chuanzhang Rong, Juan Miao, Yingjie Zhu, Huizhu Liu, Feifeng |
| Author_xml | – sequence: 1 givenname: Juan orcidid: 0000-0002-7617-1047 surname: Rong fullname: Rong, Juan – sequence: 2 givenname: Feifeng orcidid: 0000-0003-1158-2862 surname: Liu fullname: Liu, Feifeng – sequence: 3 givenname: Yingjie surname: Miao fullname: Miao, Yingjie – sequence: 4 givenname: Huizhu surname: Zhu fullname: Zhu, Huizhu – sequence: 5 givenname: Chuanzhang surname: Wu fullname: Wu, Chuanzhang |
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| SubjectTerms | Adaptive algorithms Algorithms Communication Communications systems Fuzzy sets Methods Optimization Phased arrays Radar arrays Radar systems Schedules Scheduling Scheduling (Management) Signal processing Task analysis Task scheduling Waveforms |
| Title | Adaptive Task Scheduling Algorithm for Multifunction Integrated System with Joint Radar–Communications Waveform |
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