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Buried survivor detection in the post-disaster environment by employing radaras sensor is an appealing approach. However, the implementation in the realfield is challenging especially for large observation missions. Mounting theradar on the flying drone is the most promising solution. In this case, sincethe limitations of drones such as low computer specification and limited powerresources, an efficient radar data processing is crucially required. Hence,this paper study about the implementation of the integral image technique tooptimize the computation of the signal processing step of ultra-widebandimpulse radar signatures. The evaluation was held on the single board computermounted on the developed multisensory drone. The results confirm that thedeveloped method can relatively reduce the data processing time.

Optimized 2D CA-CFAR for Drone-Mounted Radar Signal Processing Using Integral Image Algorithm