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 ultrawideband 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.

[1]  C. J. Venter,et al.  Implementation of the CA-CFAR algorithm for pulsed-Doppler radar on a GPU architecture , 2011, 2011 IEEE Jordan Conference on Applied Electrical Engineering and Computing Technologies (AEECT).

[2]  Paul A. Viola,et al.  Robust Real-time Object Detection , 2001 .

[3]  Budiman P. A. Rohman,et al.  Multisensory Surveillance Drone for Survivor Detection and Geolocalization in Complex Post-Disaster Environment , 2019, IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium.

[4]  Guangyou Fang,et al.  A Novel Method for Automatic Detection of Trapped Victims by Ultrawideband Radar , 2012, IEEE Transactions on Geoscience and Remote Sensing.

[5]  Tajul Miftahushudur,et al.  Summed area table for optimizing of processing time on CA CFAR algorithm , 2015, 2015 International Conference on Radar, Antenna, Microwave, Electronics and Telecommunications (ICRAMET).

[6]  Tsuyoshi Usagawa,et al.  Feasibility Evaluation for Keyword Spotting System Using Mini Microphone Array on UAV , 2019, IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium.