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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.

探测高超声速滑翔飞行器的区间二型模糊逻辑雷达任务优先级分配方法

[1]BaoPF, HuangXP, ZhouXC, 2018. Adaptive scheduling algorithm for passive radar tasks with integrated priority. Mod Def Technol, 46(1):141-147, 183(in Chinese).

[2]CastilloO, CervantesL, SoriaJ, et al., 2016a. A generalized type-2 fuzzy granular approach with applications to aerospace. Inform Sci, 354:165-177.

[3]CastilloO, Amador-AnguloL, CastroJR, et al., 2016b. A comparative study of type-1 fuzzy logic systems, interval type-2 fuzzy logic systems and generalized type-2 fuzzy logic systems in control problems. Inform Sci, 354:257-274.

[4]CastilloO, MelinP, OntiverosE, et al., 2019. A high-speed interval type 2 fuzzy system approach for dynamic parameter adaptation in metaheuristics. Eng Appl Artif Intell, 85:666-680.

[5]CervantesL, CastilloO, 2015. Type-2 fuzzy logic aggregation of multiple fuzzy controllers for airplane flight control. Inform Sci, 324:247-256.

[6]DingZ, MooP, 2017. Benefits of target prioritization for phased array radar resource management. Proc 18^th Int Radar Symp, p.1-7.

[7]DuanGR, SunY, ZhangMR, et al., 2010. Aerodynamic coefficients models of hypersonic vehicle based on aero database. Proc 1^st Int Conf on Pervasive Computing, Signal Processing and Applications, p.1001-1004.

[8]GuoKP, ZuoY, XueAK, 2013. An adaptive task scheduling algorithm based on the fuzzy logic priority for multifunction radars. J Jiangnan Univ (Nat Sci Ed), 12(5):591-595(in Chinese).

[9]JiménezMI, del ValL, VillacortaJJ, et al., 2012. Design of task scheduling process for a multifunction radar. IET Radar Sonar Navig, 6(5):341-347.

[10]KumarGN, IkramM, SarkarAK, et al., 2018. Hypersonic flight vehicle trajectory optimization using pattern search algorithm. Optim Eng, 19(1):125-161.

[11]LiB, TianLY, ChenDQ, et al., 2020. A task scheduling algorithm for phased-array radar based on dynamic three-way decision. Sensors, 20(1):153.

[12]LiGH, ZhangHB, TangGJ, 2015. Maneuver characteristics analysis for hypersonic glide vehicles. Aerosp Sci Technol, 43:321-328.

[13]LiGH, ZhangHB, TangGJ, 2017. Flight-corridor analysis for hypersonic glide vehicles. J Aerosp Eng, 30(1):06016005.

[14]LuJB, HuWD, YuWX, 2006. Study on real-time task scheduling of multifunction phased array radars. Acta Electron Sin, 34(4):732-736(in Chinese).

[15]MendelJM, 2017. Uncertain Rule-Based Fuzzy Systems: Introduction and New Directions (2^nd Ed.). Springer, Cham, Germany.

[16]MengFQ, TianKS, 2020. Analysis on influence of the bank angle of hypersonic glide vehicle. J Astronaut, 41(4):419-428.

[17]MirandaSLC, BakerCJ, WoodbridgeK, et al., 2007. Fuzzy logic approach for prioritisation of radar tasks and sectors of surveillance in multifunction radar. IET Radar Sonar Navig, 1(2):131-141.

[18]MorenoJE, SanchezMA, MendozaO, et al., 2020. Design of an interval type-2 fuzzy model with justifiable uncertainty. Inform Sci, 513:206-221.

[19]OntiverosE, MelinP, CastilloO, 2020. Comparative study of interval type-2 and general type-2 fuzzy systems in medical diagnosis. Inform Sci, 525:37-53.

[20]Ontiveros-RoblesE, MelinP, CastilloO, 2018. Comparative analysis of noise robustness of type 2 fuzzy logic controllers. Kybernetika, 54(1):175-201.

[21]WangLX, 1999. Analysis and design of hierarchical fuzzy systems. IEEE Trans Fuzzy Syst, 7(5):617-624.

[22]WuJ, LuF, ZhangJW, et al., 2020. Design of task priority model and algorithm for imaging observation problem. J Syst Eng Electron, 31(2):321-334.

[23]XiaoS, TanXS, WangH, et al., 2015. Detection performance assessment of near-space hypersonic target based on ground-based radar. J Electron Inform Technol, 37(7):1723-1728(in Chinese).

[24]YangSC, TianKS, LiHQ, et al., 2020. Comprehensive priority-based task scheduling algorithm for anti-missile early warning phased array radar. Acta Armam, 41(2):315-323(in Chinese).

[25]ZhangHW, XieJW, ShiJP, et al., 2017a. Dynamic priority online interleaving scheduling algorithm for the air defense phased array radar. Syst Eng Electron, 39(3):529-535(in Chinese).

[26]ZhangHW, XieJW, ZongBF, et al., 2017b. Dynamic priority scheduling method for the air-defence phased array radar. IET Radar Sonar Navig, 11(7):1140-1146.

[27]ZhangHW, XieJW, LuWL, et al., 2017c. A scheduling method based on a hybrid genetic particle swarm algorithm for multifunction phased array radar. Front Inform Technol Electron Eng, 18(11):1806-1816.

[28]ZhangHW, XieJW, ShiJP, et al., 2018. Online interleaving scheduling algorithm over dynamic priority for the air defense phased array radar. Acta Electron Sin, 46(1):55- 60(in Chinese).

[29]ZhangHW, XieJW, GeJA, et al., 2019. A hybrid adaptively genetic algorithm for task scheduling problem in the phased array radar. Eur J Oper Res, 272(3):868-878.