基于灰色关联算法的雷达反隐身性能评估

摘要

雷达反隐身的性能评估对现代空防战争具有重要意义。在深入分析雷达反隐身技术及相关基础理论基础上建立了雷达反隐身性能指标体系，提出了采用基于自适应熵权的灰色关联算法来进行雷达反隐身性能评估，解决了评价权重模糊问题，并结合经典最小二乘法和拉格朗日函数建立了优化评估模型，最后通过算例分析给出了该算法模型的应用过程，分析结果表明该算法能有效实现对雷达反隐身性能的排序和优选。%It is important to conduct radar anti-stealth performance evaluation for modern air defense war. This paper establishes radar anti-stealth performance indicators by analyzing the radar anti-stealth technol-ogy and related basic theory. Adaptive entropy based on gray correlation algorithm is proposed to solve the fuzzy of weight evaluation. And according to classical least squares method and the Lagrangian function, the optimization assessment model is established. Finally, an example is provided to describe the applica-tion of the model. The result shows that the algorithm can realize the sorting and preferred selection of ra-dar anti-stealth capability.