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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Vydáno v:Electronics (Basel) Ročník 12; číslo 7; s. 1560
Hlavní autoři: Rong, Juan, Liu, Feifeng, Miao, Yingjie, Zhu, Huizhu, Wu, Chuanzhang
Médium: Journal Article
Jazyk:angličtina
Vydáno: Basel MDPI AG 01.04.2023
Témata:
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
China
ISSN:2079-9292, 2079-9292
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Shrnutí: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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ISSN:2079-9292
2079-9292
DOI:10.3390/electronics12071560