论文信息 - Advanced Doppler radar physiological sensing technique for drone detection

Advanced Doppler radar physiological sensing technique for drone detection

A 24 GHz medium-range human detecting sensor, using the Doppler Radar Physiological Sensing (DRPS) technique, which can also detect unmanned aerial vehicles (UAVs or drones), is currently under development for potential rescue and anti-drone applications. DRPS systems are specifically designed to remotely monitor small movements of non-metallic human tissues such as cardiopulmonary activity and respiration. Once optimized, the unique capabilities of DRPS could be used to detect UAVs. Initial measurements have shown that DRPS technology is able to detect moving and stationary humans, as well as largely non-metallic multi-rotor drone helicopters. Further data processing will incorporate pattern recognition to detect multiple signatures (motor vibration and hovering patterns) of UAVs.

Hao Xu | Ji Hwan Yoon | Luis R. Garcia Carrillo

[1] Jiguang Sun,et al. Through-Wall Detection of Human Being's Movement by UWB Radar , 2012, IEEE Geoscience and Remote Sensing Letters.

[2] G. Ramachandran,et al. Three-dimensional reconstruction of cardiac displacement patterns on the chest wall during the P, QRS and T-segments of the ECG by laser speckle inteferometry , 1989, Medical and Biological Engineering and Computing.

[3] G. Ramachandran,et al. Three-dimensional reconstruction of cardiac displacement patterns on the chest wall during the P, QRS and T-segments of the ECG by laser speckle interferometry. , 1989, Medical & biological engineering & computing.

[4] E. Graves,et al. Radar remote monitoring of vital signs , 2009, IEEE Microwave Magazine.

[5] Changzhi Li,et al. A Review on Recent Advances in Doppler Radar Sensors for Noncontact Healthcare Monitoring , 2013, IEEE Transactions on Microwave Theory and Techniques.

[6] Sergey Ivashov,et al. Detection of Human Breathing and Heartbeat by Remote Radar , 2004 .

[7] Dan Rissacher,et al. Cardiac radar for biometric identification using nearest neighbour of continuous wavelet transform peaks , 2015, IEEE International Conference on Identity, Security and Behavior Analysis (ISBA 2015).