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

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.

Experimental Study of Through-the-Wall Respiration Sign Detection Using Ultra-wideband Impulse Radar

The through-the-wall human being detection and localization in the complex environments by using the radar system has many possible applications such as for law enforcement, and search and rescue missions in disaster-stricken areas. This paper discusses the experimental study of ultra-wideband impulse radar for obscured human respiration detection through spectrum analysis. We investigate the effect of the range of human-wall and radar-wall to the peak factor value of human respiration sign power spectrum. This result will be useful as a reference for analyzing the possibility of the sign to be detected by the radar with respect to the distance from both sides. According to the experimental results, longer both distance increases gradually the peak factor value. However, the peak became narrower. Besides, at a very short distance between areas and walls, the peak factor became very small because of the strong reflection of both objects. Therefore, an adaptive threshold technique and background suppression are needed in order to maintain the detection performance against any possible conditions.