基于NSGA-Ⅲ的机载雷达空空射频隐身探测参数设计

Airborne radar air-to-air RF stealth detection parameter design based on NSGA-Ⅲ

目标探测任务要求雷达具备较大的发射功率,但这又会增大其辐射特征,从而降低射频(radio frequency,RF)隐身性能,因此如何权衡RF隐身与探测性能成为机载雷达RF隐身探测的难点问题。为此,本文提出一种用于机载雷达空中运动目标RF隐身探测的多目标优化参数设计方法。所提方法首先建立空中运动目标射频隐身探测多目标优化模型;然后利用非支配排序遗传算法Ⅲ(non-dominated sorting genetic algorithmⅢ,NSGA-Ⅲ)对该模型求解,获得帕累托最优解集;最后采用层次分析逼近理想解排序法对候选解集进行多属性决策获得最终方案。数值实验结果表明所提方法可有效应用于空中运动目标射频隐身探测参数设计。

The target detection requires a large radiation power for radar,however,this would enlarge its radiation characteristics and reduce the ability of radio frequency(RF)stealth,hence it is becoming a challenge to balance the performance of RF stealth and detection.Therefore in this paper,a multi-target optimal parameters design method is proposed for airborne radar air moving RF stealth detection mode.The proposed method firstly establishes a multi-target optimization model for RF stealth detection of air moving target,and then non-dominated sorting genetic algorithmⅢ(NSGA-Ⅲ)is applied to solve this model to obtain the Pareto optimal solution set.Finally,an optimal solution can be selected by using the analytic hierarchy process and technique for order preference by similarity to ideal solution multi-property decision method.The results of numerical experiments verify the efficacy of the proposed method can be applied to the air moving target RF stealth detection parameters design.