|
|
|
|
|
Jiangkun Gong, Jun Yan, Huiping Hu, Deyong Kong and Deren Li
The detection of drones using radar presents challenges due to their small radar cross-section (RCS) values, slow velocities, and low altitudes. Traditional signal-to-noise ratio (SNR) detectors often fail to detect weak radar signals from small drones, ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Jiangkun Gong, Jun Yan, Deren Li and Deyong Kong
Not any radar dwell time of a drone radar is suitable for detecting micro-Doppler (or jet engine modulation, JEM) produced by the rotating blades in radar signals of drones. Theoretically, any X-band drone radar system should detect micro-Doppler of blad...
ver más
|
|
|
|
|
|
|
|
|
|
|
Jiangkun Gong, Deren Li, Jun Yan, Huiping Hu and Deyong Kong
Drone detection radar systems have been verified for supporting unmanned air traffic management (UTM). Here, we propose the concept of classify while scan (CWS) technology to improve the detection performance of drone detection radar systems and then to ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Jiangkun Gong, Deren Li, Jun Yan, Huiping Hu and Deyong Kong
Current studies rarely mention radar detection of hybrid vertical take-off and landing (VTOL) fixed-wing drones. We investigated radar signals of an industry-tier VTOL fixed-wing drone, TX25A, compared with the radar detection results of a quad-rotor dro...
ver más
|
|
|
|
|
|
|
|
|
|
|
Jiangkun Gong, Jun Yan, Deren Li, Huiping Hu and Deyong Kong
The calibration method using a pair of different-sized spheres to calibrate radar data in the anechoic chamber can be used in applications widely, such as measuring radar cross-section (RCS) and radar signatures of objects.
|
|
|
|
|
|
|
|
|
|
|
Xinyu Qu, Xinyan Zhu, Xiongwu Xiao, Huayi Wu, Bingxuan Guo and Deren Li
Some studies on the impact of traditional land use factors on traffic crashes do not take into account the limitations of spatial heterogeneity and spatial scale. To overcome these limitations this study presents a systematic method based on multi-scale ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Zhenfeng Shao, Congmin Li, Deren Li, Orhan Altan, Lei Zhang and Lin Ding
The integration of intelligent video surveillance and GIS (geograhical information system) data provides a new opportunity for monitoring and protecting cultivated land. For a GIS-based video monitoring system, the prerequisite is to align the GIS data w...
ver más
|
|
|
|
|
|
|
|
|
|
|
Ming Li, Deren Li, Bingxuan Guo, Lin Li, Teng Wu and Weilong Zhang
|
|
|
|
|
|
|
|
|
|
|
Jihui Tu, Deren Li, Wenqing Feng, Qinhu Han and Haigang Sui
|
|
|
|
|
|