Research On Multi-Radar Data Fusion Method For Small UAV Targets

In recent years,with the gradual maturity of unmanned aerial vehicle(UAV)technology,small UAV with the ability of sweeping the ground and sky in low and ultra-low altitudes has been widely used,which is a huge challenge to the existing radar detection capability.As a current research feature,multi-radar fusion technology can synthetically verify the validity from different kinds of radar,so as to better track and identify small UAV targets.In this dissertation,according to the practical problems mentioned above,taking small UAV as the typical representative of "low-slow and small" target,the basic methods of radar data fusion are analyzed and studied,including radar data preprocessing,coordinate transformation and system space-time alignment,multi-information and multi-level track association,track data fusion and grey system theory;secondly,the small-scale radar data fusion is studied.The motion modal characteristics of UAV target are analyzed and studied.The gray system theory of multi-radar data fusion method is used to achieve accurate target location and tracking.Thirdly,the multi-radar location,tracking and recognition methods of small UAV target are analyzed and studied,including radar clutter suppression,track initiation method and target tracking method after track initiation.The multi-radar recognition technology of small UAV target is based on the decision level fusion of neural network.According to the actual situation,the basic processing methods of multi-radar data fusion method and the characteristics of small UAV are discussed,and the problem of location,tracking and recognition of small UAV target in multi-radar system is further discussed.Based on the theory of color system,the simulation application is carried out,and a new research idea is put forward for the data fusion method of low-altitude and ultra-low-altitude multi-radar for small UAV and other "low-slow and small" targets.