面向不确定性数据的雷达预警建模方法研究  

Research on Radar Warning Modelling Methods for Uncertainty-oriented Data

作　　者：李妍[1] 陈超[1] 程光权[1] 胡星辰 廖世江 周玉珍 LI Yan;CHEN Chao;CHENG Guangquan;HU Xingchen;LIAO Shijiang;ZHOU Yuzhen(School of Systems Engineering,National University of Defense Technology,Changcha 410073,China)

机构地区：[1]国防科技大学系统工程学院,湖南长沙410073

出　　处：《郑州大学学报（理学版）》2022年第5期37-42,共6页Journal of Zhengzhou University:Natural Science Edition

基　　金：国家自然科学基金项目(61906204)。

摘　　要：为解决雷达数据本身存在的偏差对雷达预警模型效果的影响,以Takagi-Sugeno拓扑结构为基础,建立了一种针对不确定性数据的雷达探测距离预测模型。该模型从数据本身的角度出发,以聚类算法构造一种代表数据潜在结构信息的合理载体,通过“IF-THEN”规则实现了一种简单高效的建模方法,能够在一定程度上避免不确定性数据对结果的扰动。兵棋仿真上的实验数据验证了本模型的鲁棒性和准确性。In order to solve the influence of deviated radar data on the effect of the radar warning model,a radar detection range prediction model for noised data based on the Takagi-Sugeno topology was established.A clustering algorithm was used to construct a reasonable carrier representing the potential structural information of the data,and the"IF-THEN"rule was implementd to realize the simple and efficient modeling.The disturbance of uncertain data on the results were avoided and experiments on wargame verified the robustness and accuracy.

关 键 词：雷达有效探测距离 模糊聚类 TS模糊模型 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]