红外诱饵干扰下导引头视线角速度跳变特征建模

Xu Yang; Fang Yangwang; Wu Youli; Xiao Bingsong; Zhang Danxu; Liu Huan

doi:doi:10.3788/irla201948.0504001

红外与激光工程, 2019, 48 (5): 0504001, 网络出版: 2019-06-22

红外诱饵干扰下导引头视线角速度跳变特征建模

LOS-rate of seeker jump characteristic modelling under IR flare countermeasure

论文大纲

Xu Yang Fang Yangwang Wu Youli Xiao Bingsong Zhang Danxu Liu Huan

作者单位

空军工程大学航空工程学院, 陕西西安 710038

红外诱饵阶跃跳变跳变视线角速度 Morris灵敏度分析逐步回归分析 infrared flare step jump jump LOS-rate Morris sensitivity analysis stepwise regression analysis

摘要

红外诱饵会引偏导引头光轴指向、迫使制导信息出现阶跃跳变, 从而降低导弹制导精度。为探究制导信息跳变缘由, 建立了基于跳变视线角速度的脉冲叠加模型。首先, 基于红外导引头识别原理, 分析了视线角速度变化特征, 初步建立了视线角速度跳变模型; 通过大量仿真分析, 确定了影响跳变特性的影响因子集; 同时, 利用Morris灵敏度分析法筛选跳变模型的解释变量, 进而降低了模型复杂度; 基于各解释变量的作用, 引入逐步回归分析法求解跳变模型的回归参数。最后通过典型对抗态势下的预测结果对跳变模型的泛化能力进行了验证, 实验结果表明该模型对于跳变时刻及跳变强度的预测精度可达10-2 s及10 (°)/s。

Abstract

The infrared flare can decoy the point of the optical axis of the seeker leading to the guidance commands step jumps and reducing the guidance accuracy. To figure out the reason for the step jumps, a jump model based on the line of sight rate(LOS-rate) was established. First, based on the recognition principle of the infrared target, the property of the LOS-rate was analyzed and a LOS-rate jump model was constructed primarily. Second, the set of influencing factors of the jump LOS-rate was determined by a large number of simulation data. Meanwhile, the explanatory variables of the jump model were selected by the Morris sensitivity analysis method to decrease the computational complexity. Finally, combined with the explanatory variables′ effects, the stepwise regression analysis was applied to solve the regression parameters. The simulation results test and verify the effectiveness of the jump model and illustrate the prediction accuracy for the jump time and jump amplitude can reach 10-2 s and 10(°)/s, respectively.

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, , , , , . 红外诱饵干扰下导引头视线角速度跳变特征建模[J]. 红外与激光工程, 2019, 48(5): 0504001. Xu Yang, Fang Yangwang, Wu Youli, Xiao Bingsong, Zhang Danxu, Liu Huan. LOS-rate of seeker jump characteristic modelling under IR flare countermeasure[J]. Infrared and Laser Engineering, 2019, 48(5): 0504001.

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