Zhang Cong, Li Dongguang
Science and Technology on Electromechanical Dynamic Control Laboratory, Beijing Institute of Technology, Beijing 100081, China.
Sensors (Basel). 2020 Apr 26;20(9):2461. doi: 10.3390/s20092461.
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.
为了提高弹丸的攻击精度，针对弹道修正引信提出了一种新颖的机电式视频稳定策略。在该设计中，降低了传感器和执行器的复杂性。为应对复杂的作战环境，采用红外图像传感器提供视频输出。在介绍引信工作流程之后，提出了引信上机械视频稳定传感器的局限性。特别计算了与引信捷联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变换关系，从而确定电子视频稳定方法。相应地，针对图像预处理提出了一种基于自适应全局灰度阈值的子块划分新方法。此外，利用灰度投影算法通过计算相邻帧曲线之间的相关性来估计全局运动矢量。进行了实例仿真和实验以验证该策略的有效性。结果表明，所提算法在不影响运动估计精度的情况下显著降低了计算成本。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依据。
