基于蒙特卡罗的单无人机侦察平台误差修正方法研究

Research on Error Correction Method of Single UAV Based on Monte Carlo

为满足舰炮武器系统对目指精度的要求,建立了一种以小型无人机为中继站的目标定位模型。主要是以无人平台上搭载的电视图像传感器与激光成像雷达传感器相结合进行共轴探测,通过对无人机视场范围内的显著地形地貌进行标记,完成坐标转换,消除无人机自身定位误差及随机误差。通过传统无人机目标定位和所提方法的对比,对同一目标进行定位。结果表明,提出的方法在目指精度上有了较大提高。

In order to meet the requirement of target indication precision for the shipbome weapon system, a kind of target location model was established which the small UAV was treated as a relay station. This way was mainly depended on the coaxially TV image sensor and the laser imaging radar sensor equipped on the UAV to de-tect. The conversion of the coordinate was completed by marking the significant landform in the field of UAV. And then the self-localization error of the UAV was eliminated. According to contrast between the traditional target loca-tion of UAV and the authors method, the result show that the method proposed has greatly improved the accuracy of the target indication.