突防场景下基于NWHFS的集群射频隐身性能评估

doi:10.3969/j.issn.1001-506X.2020.05.18

Abstract

Abstract:

Aiming at solving the problem of the swarm radio frequency (RF) stealth performance evaluation of aircraft swarm under penetration scene, an evaluation method based on the correlation coefficient of the normal wiggly hesitant fuzzy set (NWHFS) is proposed. Firstly, the NWHFS correlation coefficients expression is derived. By analyzing the differences between the RF stealth evaluation problems of aircraft swarm and single carrier platform, the parameters of the swarm RF stealth performance evaluation are extracted, and the formulas of the membership degree reference point are obtained. Decision-makers give the NWHFS decision matrix according to the membership degree reference points. Finally, the correlation coefficient between the scenes to be evaluated and the reference point set is calculated to quantitatively evaluate the RF stealth performance of the aircraft swarm under different scenes, and to determine the RF stealth performance ranking. Taking the four-aircraft swarm as the research object, the simulation of three scenes under the penetration scene is carried out, which proves the validity of the evaluation method.

Key words: aircraft swarm, penetration scene, normal wiggly hesitant fuzzy set (NWHFS), radio frequency (RF) stealth

CLC Number:

V11
TJ85

Chengxiu YANG, Qianzhe WANG, Shujing LI, Shaoting PEI. Swarm RF stealth performance evaluation method based on NWHFS under penetration scene[J]. Systems Engineering and Electronics, 2020, 42(5): 1109-1115.

Figures/Tables 8

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Table 1

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References 21

1	SHI C , ZHOU J , WANG F . Adaptive resource management algorithm for target tracking in radar network based on low probability of intercept[J]. Multidimensional Systems and Signal Processing, 2018, 29 (4): 1203- 1226. doi: 10.1007/s11045-017-0494-8
2	SHE J , ZHOU J , WANG F , et al. LPI optimization framework for radar network based on minimum mean-square error estimation[J]. Entropy, 2017, 19 (8): 397. doi: 10.3390/e19080397
3	SHI C , WANG F , SALOUS S , et al. Low probability of intercept-based radar waveform design for spectral coexistence of distributed multiple-radar and wireless communication systems in clutter[J]. Entropy, 2018, 20 (3): 197. doi: 10.3390/e20030197
4	吴华, 史忠亚, 沈文迪, 等. 基于改进G-GIFSS算法的雷达LPI性能评估方法[J]. 系统工程与电子技术, 2017, 39 (6): 1256- 1260.
	WU H , SHI Z Y , SHEN W D , et al. Radar LPI performance assessment method based on extended G-GIFSS algorithm[J]. Systems Engineering and Electronics, 2017, 39 (6): 1256- 1260.
5	何召阳, 王谦喆, 宋博文, 等. 雷达信号波形域射频隐身性能评估方法[J]. 系统工程与电子技术, 2017, 39 (10): 2234- 2238.
	HE Z Y , WANG Q Z , SONG B W , et al. RF stealth performance evaluation method for radar signal waveform[J]. Systems Engineering and Electronics, 2017, 39 (10): 2234- 2238.
6	王谦喆, 何召阳, 宋博文, 等. 机载航电系统射频隐身性能多域联合评估方法[J]. 国防科技大学学报, 2018, 40 (1): 121- 125.
	WANG Q Z , HE Z Y , SONG B W , et al. Multi-domain joint evaluation method for RF stealth performance of airborne avionics system[J]. Journal of National University of Defense Technology, 2018, 40 (1): 121- 125.
7	王经商, 吴华, 王文哲, 等. 机载雷达低截获波形射频隐身性能评估[J]. 火力与指挥控制, 2018, 40 (1): 121- 125. doi: 10.3969/j.issn.1002-0640.2018.01.025
	WANG J S , WU H , WANG W Z , et al. An evaluation method of RF stealth performance of airborne radar low interception probability waveforms[J]. Fire Control & Command Control, 2018, 40 (1): 121- 125. doi: 10.3969/j.issn.1002-0640.2018.01.025
8	孙强, 梁晓龙, 尹忠海, 等. UAV集群自组织飞行建模与控制策略研究[J]. 系统工程与电子技术, 2016, 38 (7): 1649- 1653.
	SUN Q , LIANG X L , YIN Z H , et al. UAV swarm self-orga-nized flight modeling and control strategy[J]. Systems Engineering and Electronics, 2016, 38 (7): 1649- 1653.
9	WEI Y , BLAKE M B , MADEY G R . An operation-time simulation framework for UAV swarm configuration and mission planning[J]. Procedia Computer Science, 2013, 18, 1949- 1958.
10	张佳强, 梁晓龙, 尹忠海, 等. 航空集群协同反隐身构型与机动策略[J]. 系统工程与电子技术, 2016, 38 (11): 2518- 2522. doi: 10.3969/j.issn.1001-506X.2016.11.11
	ZHANG J Q , LIANG X L , YIN Z H , et al. Design of aircraft swarm cooperating anti-stealth configuration and maneuver strategy[J]. Systems Engineering and Electronics, 2016, 38 (11): 2518- 2522. doi: 10.3969/j.issn.1001-506X.2016.11.11
11	SHI C , ZHOU J , WANG F , et al. Mutual information-based LPI optimization for radar network[J]. International Journal of Electronics, 2015, 102 (7/9): 1114- 1131.
12	谢桂辉, 田茂, 王正海, 等. 射频隐身数据链的通信波形参数优化建模[J]. 西安交通大学学报, 2015, 49 (4): 116- 122.
	XIE G H , TIAN M , WANG Z H , et al. An optimization model for communication waveform parameters of radio frequency stealth datalink[J]. Journal of Xi'an Jiaotong University, 2015, 49 (4): 116- 122.
13	TORRA V . Hesitant fuzzy sets[J]. International Journal of Intelligent Systems, 2010, 25 (6): 529- 539.
14	FARHADINIA B . Information measures for hesitant fuzzy sets and interval-valued hesitant fuzzy sets[J]. Information Sciences, 2013, 240, 129- 144. doi: 10.1016/j.ins.2013.03.034
15	YE J . Correlation coefficient of dual hesitant fuzzy sets and its application to multiple attribute decision making[J]. Applied Mathematical Modelling, 2014, 38 (2): 659- 666.
16	REN Z , XU Z , WANG H . Normal wiggly hesitant fuzzy sets and their application to environmental quality evaluation[J]. Knowledge-based Systems, 2018, 159, 286- 297.
17	XU Z , XIA M . On distance and correlation measures of hesitant fuzzy information[J]. International Journal of Intelligent Systems, 2011, 26 (5): 410- 425.
18	CHEN N , XU Z , XIA M . Correlation coefficients of hesitant fuzzy sets and their applications to clustering analysis[J]. Applied Mathematical Modelling, 2013, 37 (4): 2197- 2211.
19	LIAO H , XU Z , ZENG X J . Novel correlation coefficients between hesitant fuzzy sets and their application in decision making[J]. Knowledge-based Systems, 2015, 82, 115- 127. doi: 10.1016/j.knosys.2015.02.020
20	GUAN X , SUN G , YI X , et al. Synthetic correlation coefficient between hesitant fuzzy sets with applications[J]. International Journal of Fuzzy Systems, 2018, 20 (6): 1968- 1985. doi: 10.1007/s40815-018-0496-1
21	谭吉玉, 朱传喜, 张小芝, 等. 基于群体一致性的犹豫模糊多属性决策方法[J]. 运筹与管理, 2016, 25 (1): 105- 109.
	TAN J Y , ZHU C X , ZHANG X Z , et al. The method of hesitant fuzzy multiple attribute decision making based on group consistency[J]. Operations Research and Management Science, 2016, 25 (1): 105- 109.

场景	集群内个体完成探测任务所需要的最大时间	集群内个体与群内其他节点通信所需的最大时间	集群受激励后平均反应时间
场景1	34	8	800
场景2	40	4	450
场景3	70	5	300

参数	场景1	场景2	场景3
R₁	0.994	0.993	0.989
R₂	0.009	0.008	0.011
R₃	0.946	0.934	0.976
R₄	0.886	0.936	0.958

场景	C₁	C₂	C₃	C₄
Z₁	{0.993, 0.996}	{0.008 9, 0.009 2}	{0.944, 0.948}	{0.884, 0.892}
Z₂	{0.992 8, 0.993 3}	{0.007 5, 0.008 4}	{0.926, 0.938}	{0.932, 0.938}
Z₃	{0.989 2, 0.989 9}	{0.010 9, 0.012 1}	{0.975, 0.977}	{0.955, 0.961}

	C₁	C₂
Z₁	({0.993, 0.996}, {(0.992 1, 0.993, 0.993 9), (0.995 1, 0.996, 0.996 9)})	({0.008 9, 0.009 2}, {(0.008 8, 0.008 9, 0.009), (0.009 1, 0.009 2, 0.009 3)})
Z₂	({0.992 8, 0.993 3}, {(0.992 6, 0.992 8, 0.993), (0.993 1, 0.993 3, 0.993 5)})	({0.007 5, 0.008 4}, {0.007 2, 0.007 5, 0.007 8}, (0.008 1, 0.008 4, 0.008 7)})
Z₃	({0.989 2, 0.989 9}, {(0.989, 0.989 2, 0.989 4), (0.989 7, 0.989 9, 0.990 1)})	({0.010 9, 0.012 1}, {(0.010 5, 0.010 9, 0.011 3), (0.011 7, 0.012 1, 0.012 5)})

	C₃	C₄
Z₁	({0.944, 0.948}, {(0.9428, 0.944, 0.945 2), (0.946 8, 0.948, 0.949 2)})	({0.884, 0.892}, {(0.881 6, 0.884, 0.886 4), (0.889 6, 0.892, 0.894 4)})
Z₂	({0.926, 0.938}, {(0.922 4, 0.926, 0.929 6), (0.934 4, 0.938, 0.941 6)})	({0.932, 0.938}, {(0.930 2, 0.932, 0.933 8), (0.936 2, 0.938, 0.939 8)})
Z₃	({0.975, 0.977}, {(0.974 4, 0.975, 0.975 6), (0.976 4, 0.977, 0.977 6)})	({0.955, 0.961}, {(0.953 2, 0.955, 0.956 8), (0.959 2, 0.961, 0.962 8)})

[1]	Chenguang SHI, Jing DONG, Jianjiang ZHOU, Fei WANG. Overview of aircraft radio frequency stealth technology [J]. Systems Engineering and Electronics, 2021, 43(6): 1452-1467.
[2]	Weiqiang YU, Fei WANG, Ping SUN, Jianjiang ZHOU, Jun CHEN. RF stealth optimization of airborne radar signal parametersunder clutter background [J]. Systems Engineering and Electronics, 2021, 43(11): 3194-3201.
[3]	Ping SUN, Fei WANG, Shanyue DOU, Jianjiang ZHOU, Jun CHEN. Dual airborne radar joint target tracking method based on constraint of radiant energy reduction [J]. Systems Engineering and Electronics, 2021, 43(10): 2851-2859.
[4]	Chengxiu YANG, Qianzhe WANG, Jie ZHU, Ang LI. Evaluation method of radio frequency stealth performance of aircraft swarm in air combat mode [J]. Systems Engineering and Electronics, 2020, 42(12): 2811-2818.
[5]	LAI Zuomei, QIAO Wensheng, GU Bo, WANG Shiyi. Research on sensor cooperative radiation control strategy under task performance constraints [J]. Systems Engineering and Electronics, 2019, 41(8): 1749-1754.
[6]	HE Zhaoyang, WANG Qianzhe, SONG Bowen, PENG Weidong, WANG Jinjiang. RF stealth performance evaluation method for radar signal waveform [J]. Systems Engineering and Electronics, 2017, 39(10): 2234-2238.
[7]	FU Yinjuan, LI Yong, HUANG Qiongdan, ZHANG Kunhui. Optimized design of OFD-NLFM radar signals and analysis of RF stealth performance [J]. Systems Engineering and Electronics, 2017, 39(10): 2209-2214.
[8]	ZHANG Jia-qiang, LIANG Xiao-long, YIN Zhong-hai, Sun Qiang. Design of aircraft swarm cooperating anti-stealth configuration and maneuver strategy [J]. Systems Engineering and Electronics, 2016, 38(11): 2518-2522.
[9]	FENG Bo-yu, WANG Ying, AN Hang, LI Chao. Computational model of radio frequency risk on stealth performance of airborne radar [J]. Journal of Systems Engineering and Electronics, 2013, 35(1): 73-77.
[10]	LI Huan-yu, BAI Peng, WANG Xu-hua, LIN Jin-fu, ZHA Yu-fei. Analysis of influence of radio frequency on RF stealth [J]. Journal of Systems Engineering and Electronics, 2012, 34(6): 1108-1112.

Swarm RF stealth performance evaluation method based on NWHFS under penetration scene

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