In this paper, the method of extracting guidance information such as the line-of-sight (LOS) rates under the anti-infrared decoy state for the roll-pitch seeker is researched. Co-ordinate systems which are used to describe the angles transform are defined. The LOS angles reconstruction model of the roll-pitch seeker in inertial space is established. A Kalman filter model for extracting LOS rates of the roll-pitch seeker is proposed. In this model, the target performs constant acceleration (CA) model maneuvers. The error model of LOS rates extraction under infrared decoy state is established. Several existing methods of extracting LOS rates under anti-infrared decoy state are listed in this paper. Different from the existing methods, a novel method that uses extrapolated values of target accelerations as filter measurements is proposed to solve the guidance information extraction problem under the anti-infrared decoy state. Numerical simulations are conducted to verify the effectiveness of the proposed method under different target maneuvering models such as the CA model, the CA extended model and the singer model. The simulation results show that the proposed method of extracting guidance information such as LOS rates for the roll-pitch seeker under the anti-infrared decoy state is effective.

中文翻译：

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反红外诱饵状态下俯仰俯仰导引器的视线率提取

本文研究了一种针对滚动俯仰搜索器的反红外诱饵状态下视线率等指导信息的提取方法。定义了用于描述角度变换的坐标系。建立了惯性空间中滚动俯仰导引器的LOS角重建模型。提出了一种用于提取俯仰俯仰导引器LOS率的卡尔曼滤波模型。在此模型中，目标执行恒定加速度（CA）模型演习。建立了红外诱饵状态下LOS率提取的误差模型。本文列举了几种在反红外诱饵状态下提取LOS率的现有方法。与现有方法不同，为了解决反红外诱饵状态下的制导信息提取问题，提出了一种将目标加速度的外推值作为滤波器度量的新方法。进行了数值模拟，验证了该方法在不同的目标机动模型（例如CA模型，CA扩展模型和歌手模型）下的有效性。仿真结果表明，所提出的抗倾角诱饵状态下滚动俯仰搜索器的LOS率等指导信息的提取方法是有效的。