Quality Analysis of Early Warning Radar Intelligence Based on Asymmetrical Proximity
-
摘要:
针对预警雷达情报质量评估中，模糊因素影响评估有效性的问题，该文提出一种基于非对称贴近度的预警雷达情报质量分析评估方法。分析预警雷达情报获取、传输和作战运用环境特点，从及时性、准确性、完整性、连续性和客观性等6个方面构建其质量评估指标体系，进而建立因素集、评语集和权重集，利用非对称贴近度对其进行模糊综合评估。该研究方法和结论可有效分析评判预警雷达情报质量，也能帮助发现影响情报质量优劣的瓶颈与短板，还可为解决复杂作战环境下预警雷达情报质量评估与分析等问题研究提供一定借鉴。
Abstract:Considering the limits of fuzzy comprehensive evaluation on quality of early warning radar intelligence in actual training, a method of quality evaluation on radar intelligence based on the theory of asymmetric proximity and multilevel fuzzy comprehensive evaluation is proposed. Through the analysis of the producing, transmission, using environmental factors of early warning radar intelligence, the evaluating metric of quality evaluation on radar intelligence integrated for six classes, that are timely, accuracy, completeness, continuity, objectiveness and so on, and then factor set, weight set, and comment set are established, and the quality of the radar intelligence based on the asymmetric proximity with the fuzzy comprehensive evaluation is carried out. This researching methods and results not only can take comprehensive evaluations of a certain quality of radar intelligence, help for finding out the factors to determine the quality of the radar intelligence, but also can fight for providing certain reference to solve complex environment of radar intelligence of operational effectiveness evaluation problem.
-
表 1 雷达情报质量评价指标体系
影响因素子集 影响因素 及时性${F_1}$ 搜索发现${F_{11}}$ 报知速度${F_{12}}$ 准确性${F_2}$ 方位距离误差${F_{21}}$ 高度误差${F_{22}}$ 速度误差${F_{23}}$ 判断准确性${F_{24}}$ 错批率${F_{25}}$ 混批率${F_{26}}$ 连续性${F_3}$ 报知密度${F_{31}}$ 航迹漏点率${F_{32}}$ 完整性${F_4}$ 要素完整率${F_{41}}$ 目标掌握率${F_{42}}$ 客观性${F_5}$ 情报要素客观${F_{51}}$ 情报来源客观${F_{52}}$ 错漏压情${F_6}$ 错情${F_{61}}$ 漏情${F_{62}}$ 压情${F_{63}}$ 
下载: 导出CSV
表 2 1～9标度法评价标准
标度 相对比较 1 因素A, B同等重要 2 1, 3标度之间的状态 3 A因素比B因素重要一点 4 3, 5标度之间的状态 5 A因素比B因素重要较多 6 5, 7标度之间的状态 7 A因素比B因素重要很多 8 7, 9标度之间的状态 9 A因素比B因素绝对重要
下载: 导出CSV
表 3 影响因素评价结果统计表
优秀 良好 合格 不合格 一般事故 严重事故 ${F_{11}}$ 9 10 8 3 0 0 ${F_{12}}$ 11 8 9 2 0 0 ${F_{21}}$ 12 9 7 1 1 0 ${F_{22}}$ 11 8 9 2 0 0 ${F_{23}}$ 7 11 9 2 1 0 ${F_{24}}$ 5 12 11 2 0 0 ${F_{25}}$ 10 10 10 0 0 0 ${F_{26}}$ 11 9 8 2 0 0 ${F_{31}}$ 7 9 11 2 1 0 ${F_{32}}$ 7 11 11 1 0 0 ${F_{41}}$ 9 9 11 1 0 0 ${F_{42}}$ 6 11 10 2 1 0 ${F_{51}}$ 12 9 9 0 0 0 ${F_{52}}$ 7 10 10 2 1 0 ${F_{61}}$ 9 9 11 1 0 0 ${F_{62}}$ 9 10 11 0 0 0 ${F_{63}}$ 9 10 10 1 0 0
下载: 导出CSV
-
马建朝. 雷达数据处理[M]. 武汉: 空军预警学院, 2012: 2–11.MA Jianchao. Radar Data Processing[M]. Wuhan: Air Force Early Warning Academy, 2012: 2–11. 巴宏欣, 华锋, 杨颜靖. 雷达情报组网系统作战效能评估[J]. 指挥信息系统与技术, 2016, 7(2): 20–27. doi: 10.15908/j.cnki.cist.2016.02.004BA Hongxin, HUA Feng, and YANG Yanjing. Operational efficiency assessment for radar intelligence netting system[J]. Command Information System and Technology, 2016, 7(2): 20–27. doi: 10.15908/j.cnki.cist.2016.02.004 刘江波. 雷达装备在复杂电磁环境下适应性试验研究[J]. 舰船电子工程, 2017, 37(3): 74–77. doi: 10.3969/j.issn.1672-9730.2017.03.019LIU Jiangbo. Radar equipment adaptability test under complex electromagnetic environment[J]. Ship Electronic Engineering, 2017, 37(3): 74–77. doi: 10.3969/j.issn.1672-9730.2017.03.019 杨兆民, 彭思勇, 尹康银, 等. 雷达情报质量评价方法研究[J]. 空军雷达学院学报, 2011(1): 31–33. doi: 10.3969/j.issn.1673-8691.2011.01.009YANG Zhaomin, PENG Siyong, YIN Kangyin, et al. Study of assessment scheme for radar intelligence[J]. Journal of Air Force Radar Academy, 2011(1): 31–33. doi: 10.3969/j.issn.1673-8691.2011.01.009 王怀军, 薛银地, 郭建明. 预警机雷达情报质量评估指标研究[J]. 雷达科学与技术, 2013, 11(6): 569–573. doi: 10.3969/j.issn.672-2337.2013.06.001WANG Huaijun, XUE Yindi, and GUO Jianming. Research on evaluation parameters of airborne early warning radar intelligence quality[J]. Radar Science and Technology, 2013, 11(6): 569–573. doi: 10.3969/j.issn.672-2337.2013.06.001 DIETRICH N. Performance metrics for correlation and tracking algorithms[D]. [Ph.D. dissertation], Naval Postgraduate School Monterey, California, 2001. NASERI A and AZMOON O. Evaluation of data fusion in radars network and determination of optimum algorithm[J]. International Journal of UbiComp, 2011, 4(2): 51–67. 李琼彪, 冯小龙, 李学海. 基于多级模糊综合评判法的指挥模拟训练效果评估[J]. 指挥控制与仿真, 2016, 38(5): 79–81. doi: 10.3969/j.issn.1673-3819.2016.05.017LI Qiongbiao, FENG Xiaolong, and LI Xuehai. Effect evaluation based on multilevel fuzzy comprehensive evaluation method about command simulation training[J]. Command Control &Simulation, 2016, 38(5): 79–81. doi: 10.3969/j.issn.1673-3819.2016.05.017 谢锐, 万显荣, 方高, 等. 外辐射源雷达网络定位性能评估与实验验证[J]. 电子与信息学报, 2016, 38(3): 753–757. doi: 10.11999/JEIT150733XIE Rui, WAN Xianrong, FANG Gao, et al. Positioning performance evaluation for passive radar network and experimental verification[J]. Journal of Electronics &Information Technology, 2016, 38(3): 753–757. doi: 10.11999/JEIT150733 ZHU Runkai, LIANG Qianchao, and ZHAN Haiyang. Analysis of aero-engine performance and selection based on fuzzy comprehensive evaluation[J]. Procedia Engineering, 2017, 174(2): 1202–1207. 赵丹玲, 谭跃进, 李际超, 等. 基于作战环的武器装备体系贡献度评估[J]. 系统工程与电子技术, 2017, 39(10): 2239–2247. doi: 10.3969/jissn.1001-506X.2017.10.13ZHAO Danling, TAN Yuejin, LI Jichao, et al. Armament system of systems contribution evaluation based on operation loop[J]. Systems Engineering and Electronics, 2017, 39(10): 2239–2247. doi: 10.3969/jissn.1001-506X.2017.10.13 吴志建, 方胜良, 吴付祥. 雷达对目标探测航迹质量建模与仿真[J]. 系统仿真学报, 2014, 26(1): 186–190.WU Zhijian, FANG Shengliang, and WU Fuxiang. Research on track quality modeling and simulation of target detection by radar[J]. Journal of System Simulation, 2014, 26(1): 186–190. 张发明, 刘志平. 组合评价方法研究综述[J]. 系统工程学报, 2017, 32(4): 557–569. doi: 10.13383/j.cnki.jse.2017.04.012ZHANG Faming and LIU Zhiping. Combined evaluation methods: A literature review[J]. Journal of Systems Engineering, 2017, 32(4): 557–569. doi: 10.13383/j.cnki.jse.2017.04.012 戚宗锋, 韩山, 李建勋. 基于粗糙集的雷达抗干扰性能评估指标体系研究[J]. 系统仿真学报, 2016, 28(2): 335–342. doi: 10.16182/j.cnki.joss.2016.02.011QI Zongfeng, HAN Shan, and LI Jianxun. Research on radar anti-jamming performance evaluation index system based on rough set theory[J]. Journal of System Simulation, 2016, 28(2): 335–342. doi: 10.16182/j.cnki.joss.2016.02.011 卢雷, 史颖超, 尹振兴. 雷达装备保障系统效能综合评估[J]. 雷达科学与技术, 2017, 15(3): 276–280. doi: 10.3969/j.issn.1672-2337.2017.03.010LU Lei, SHI Yingchao, and YIN Zhenxin. Efficiency evaluation of radar equipment support system[J]. Radar Science and Technology, 2017, 15(3): 276–280. doi: 10.3969/j.issn.1672-2337.2017.03.010 王帅杰, 何俊, 王斌, 等. 基于改进模糊层次分析法的相控阵雷达效能评估[J]. 火力与指挥控制, 2015, 40(2): 90–93. doi: 10.3969/j.issn.1002-0640.2015.02.023WANG Shuaijie, HE Jun, WANG Bin, et al. An effectiveness evaluation research of phased array radar based on improved fuzzy AHP[J]. Fire Control &Command Control, 2015, 40(2): 90–93. doi: 10.3969/j.issn.1002-0640.2015.02.023 李莹芳. 贴近度理论及其在模糊推理中的应用[D]. [博士论文], 西南交通大学, 2015.LI Yingfang. Similarity measure on fuzzy reasoning[D]. [Ph.D. dissertation], Southwest Jiaotong University, 2015. 张晓平. 基于贴近度的模糊综合评判结果的集化[J]. 山东大学学报(理学版), 2004, 39(2): 25–29. doi: 10.3969/j.issn.1671-9352.2004.02.006ZHANG Xiaoping. The definition of product about fuzzy comprehensive evaluation methods based on closeness[J]. Journal of Shandong University, 2004, 39(2): 25–29. doi: 10.3969/j.issn.1671-9352.2004.02.006 刘彦, 裴晓羽, 吕中杰, 等. 基于层次分析-模糊综合评价法的相控阵雷达毁伤评估[J]. 北京理工大学学报, 2016(10): 996–1000. doi: 10.15918/j.tbit1001-0645.2016.10.002LIU Yan, PEI Xiaoyu, LÜ Zhongjie, et al. Damage assessment of phased array antenna based on analytic hierarchy process and fuzzy comprehensive assessment[J]. Transactions of Beijing Institute of Technology, 2016(10): 996–1000. doi: 10.15918/j.tbit1001-0645.2016.10.002 -
计量
- 文章访问数: 1795
- HTML全文浏览量: 606
- PDF下载量: 58
- 被引次数: 0
下载:
