时变对抗环境中基于双层加权估计的雷达干扰决策方法

Radar Jamming Decision Method Based on Double-layer Weighted Estimation in Varying Adversarial Environment

如何在目标雷达策略实时变化的战场对抗环境中准确估计出干扰策略的收益,是有效评估干扰策略效果并不断优化干扰策略的关键之一。针对这一问题,在常见的收益估计方法的基础上,提出了一种时变对抗环境中基于双层加权估计的雷达干扰决策方法。该方法通过交叉验证、对收益均值进行加权估计和加权更新来估计所选策略平均收益,并根据策略权重和最大估计值选取最优策略。仿真实验表明,该方法对所选策略平均收益的估计值总体更接近于真实的最优策略收益均值,并能够根据对抗环境的变化,识别最优策略,并逐步提高对最优策略的选取概率。

In the battlefield confrontation environment of real-time change of target radar strategy,how to estimate the earnings of jamming strategy accurately is one of the keys to evaluate the jamming strategy effect effectively and continuously optimize the jamming strategy.In response to this question,this paper puts forward a method of radar jamming decision based on double-layer weighted estimation.This method uses cross-validation and weighted estimation and weighted updating of mean earnings to estimate average earnings of selected strateg and choose the optimal strategies according to the weight of every strategy and maximum estimate value.The simulation′s results show that the average earnings based on the method of this paper is more similar to the average earnings of the real optimal strategies,and it can adjust the selection of the optimal strategies according to the change of the antagonistic battlefield environment,and gradually improve the probability of selecting the optimal strategies.