Abstract
A radar task priority assignment method based on interval type-2 fuzzy logic system (IT2FLS) was designed to solve the problem of resource management for phased-array radar to detect hypersonic-glide vehicles (HGVs). The mathematical model of the radar task and the motion and detection models of HGVs are described in detail. The target threat of an HGV is divided into maneuver, speed, azimuth, and distance threats. In the radar task priority assignment method based on IT2FLS, the maneuver factor, speed, azimuth difference, distance, and initial priority are input variables. The radar task priority is the output variable. To reduce the number of fuzzy rules and avoid rule explosion, an IT2FLS with a hierarchical structure was designed. Finally, the feasibility of the task priority assignment method was verified by simulations. Simulation results showed that the method based on IT2FLS has a higher precise tracking rate, mean initial priority, and target threat degree, and a shorter offset time.
摘要
针对相控阵雷达探测临近空间高超声速滑翔飞行器时的资源管理问题, 设计了一种基于区间二型模糊逻辑系统的雷达任务优先级分配方法. 详细阐述了雷达任务数学模型、 高超声速滑翔目标的运动模型和探测模型. 将高超声速滑翔飞行器的目标威胁划分为机动威胁、 速度威胁、 方位威胁和距离威胁. 此方法中, 机动因子、 速度、 方位、 距离和初始优先级为输入变量, 雷达任务优先级为输出变量. 为减少模糊规则数、 避免规则爆炸, 设计了分层结构的区间二型模糊逻辑系统. 最后, 通过仿真验证该方法可行性. 结果表明, 基于区间二型模糊逻辑系统的任务优先级分配方法具有更高的精确跟踪率、 平均初始优先级和目标威胁度以及更短的偏移时间.
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Fanqing MENG designed the research, processed the data, and drafted the paper. Kangsheng TIAN revised and finalized the paper.
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Fanqing MENG and Kangsheng TIAN declare that they have no conflict of interest.
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Project supported by the Military Key Project (No. JY2019B137)
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Meng, F., Tian, K. Interval type-2 fuzzy logic based radar task priority assignment method for detecting hypersonic-glide vehicles. Front Inform Technol Electron Eng 23, 488–501 (2022). https://doi.org/10.1631/FITEE.2000560
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DOI: https://doi.org/10.1631/FITEE.2000560
Key words
- Hypersonic-glide vehicle (HGV)
- Phased-array radar
- Interval type-2 fuzzy logic system (IT2FLS)
- Priority assignment