点源红外诱饵干扰下环境复杂度量化建模

为了测定红外空空导弹自身抗干扰性能,需要对红外对抗环境进行定量评估。但是目前多数模型都是从终端脱靶量分析导弹抗干扰性能,无法反映导弹在被干扰过程中各模块的响应情况。为此,基于干扰过程中导弹导引头系统和制导控制系统角度提出了红外对抗环境量化建模方法。首先从场景构成和物理特性方面构建了红外对抗要素模型;其次,分析了对抗要素对导引头图像识别及制导控制系统的干扰影响,抽象出相似度、遮蔽度、干扰时机、目标机动以及进入角影响度指标;最后,运用并联关系模型、几何均值合成模型及加权求和模型综合上述指标,建立了总体环境复杂度量化模型。仿真结果表明:典型对抗场景下,该模型预测导弹命中率的误差在±6%区间的概率为95%。

Quantification modeling for environmental complexity under point source infrared decoy interference

In order to identify anti-jamming performance of the infrared missile, the infrared countermeasure environment need to be quantitatively evaluated. However, most of the current models analyzed the missile's anti-jamming performance from the terminal miss distance, couldn't reflect the response of each module of the missile in the process of being interfered. Therefore, based on the missile seeker system and the guidance control system in the process of jamming, a quantitative modeling method of infrared countermeasure environment was proposed. Firstly, the infrared countermeasure elements model was constructed from the scene composition and physical characteristics. Secondly, based on the influence of the countermeasure elements on the image recognition and the guidance control system, the indicators of similarity, masking degree, jamming time, target maneuver and entry angle were proposed. Finally, by using parallel relation model, geometric mean synthesis model and weighted sum model, the total environmental complexity quantification model was established based on the above indicators. Simulation experiments show that the probability of the missile hit ratio error within±6% predicted by this model is 95% in typical countermeasure scenarios.