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Mechanical and Electronic Video Stabilization Strategy of Mortars with Trajectory Correction Fuze Based on Infrared Image Sensor

机译：基于红外图像传感器的弹道修正引信砂浆机电视频稳定策略。

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摘要

For a higher attack accuracy of projectiles, a novel mechanical and electronic video stabilization strategy is proposed for trajectory correction fuze. In this design, the complexity of sensors and actuators were reduced. To cope with complex combat environments, an infrared image sensor was used to provide video output. Following the introduction of the fuze’s workflow, the limitation of sensors for mechanical video stabilization on fuze was proposed. Particularly, the parameters of the infrared image sensor that strapdown with fuze were calculated. Then, the transformation relation between the projectile’s motion and the shaky video was investigated so that the electronic video stabilization method could be determined. Correspondingly, a novel method of dividing sub-blocks by adaptive global gray threshold was proposed for the image pre-processing. In addition, the gray projection algorithm was used to estimate the global motion vector by calculating the correlation between the curves of the adjacent frames. An example simulation and experiment were implemented to verify the effectiveness of this strategy. The results illustrated that the proposed algorithm significantly reduced the computational cost without affecting the accuracy of the motion estimation. This research provides theoretical and experimental basis for the intelligent application of sensor systems on fuze.
机译：为了提高弹丸的攻击精度，提出了一种新颖的机械和电子视频稳定策略，用于弹道修正引信。在这种设计中，降低了传感器和执行器的复杂性。为了应付复杂的战斗环境，红外图像传感器用于提供视频输出。在引信的工作流程介绍之后，提出了用于引信上的机械视频稳定传感器的限制。特别地，计算了由于引信而束缚的红外图像传感器的参数。然后，研究了弹丸运动与抖动视频之间的转换关系，从而可以确定电子视频稳定方法。相应地，提出了一种通过自适应全局灰度阈值划分子块的新方法来进行图像预处理。另外，使用灰度投影算法通过计算相邻帧的曲线之间的相关性来估计全局运动矢量。通过实例仿真和实验验证了该策略的有效性。结果表明，该算法在不影响运动估计精度的前提下，大大降低了计算量。该研究为传感器系统在引信上的智能应用提供了理论和实验基础。

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