论文标题
使用积分图像算法优化用于无人机安装的雷达信号处理的2D CA-CFAR
Optimized 2D CA-CFAR for Drone-Mounted Radar Signal Processing Using Integral Image Algorithm
论文作者
论文摘要
通过采用雷达作为传感器，在灾后环境中埋葬的幸存者检测是一种吸引人的方法。但是，在实际领域的实施尤其是针对大型观察任务的挑战。将雷达安装在飞行无人机上是最有前途的解决方案。在这种情况下，由于无人机的局限性（例如低计算机规范和有限的电源资源），因此至关重要的是有效的雷达数据处理。因此，本文研究了对积分图像技术的实施，以优化超宽带脉冲雷达标志的信号处理步骤的计算。评估是在安装在开发的多感觉无人机上的单板计算机上进行的。结果证实了开发的方法可以相对减少数据处理时间。
Buried survivor detection in the post-disaster environment by employing radar as sensor is an appealing approach. However, the implementation in the real field is challenging especially for large observation missions. Mounting the radar on the flying drone is the most promising solution. In this case, since the limitations of drones such as low computer specification and limited power resources, an efficient radar data processing is crucially required. Hence, this paper study about the implementation of the integral image technique to optimize the computation of the signal processing step of ultra-wideband impulse radar signatures. The evaluation was held on the single board computer mounted on the developed multisensory drone. The results confirm that the developed method can relatively reduce the data processing time.
