Research On Taraget Detection And Tracking Algorithm For UAV Obstacle Avoidance Radar

With the development of UAV technology,the application environment has become more and more complicated,the safety of UAV has become a topic of concern,obstacle avoidance technology has gradually become a focus of UAV research field,so Reliable obstacle avoidance sensor research has gradually been taken seriously.Radar with anti-interference ability,can be all-weather application characteristics,UAV in the flight process can use radar sensors to obtain environmental information,through the signal processing algorithm and target tracking technology target information for UAVs to provide a reliable environment Information,the threat of the target to make the appropriate strategy to ensure that the UAV's own security.In this paper,combined with the characteristics of UAV and application environment,the use of small-size low-power linear FM continuous radar as a research object.Based on the basic principle and composition of the radar,the antenna,RF circuit and signal processing circuit of continuous wave radar are studied.The process of extracting the target distance,velocity and angle information in the frequency domain of radar IF signal is given,The CIRT algorithm improves the accuracy of the radar and designs the frequency domain phase method,which is based on the frequency domain phase method.And the starting point of the target is established,and the target data of the newly acquired target data are correlated with the data.In the wave gate,the target data of the target is analyzed.Finally,the radar signal processing algorithm and tracking algorithm are tested and verified by the actual scene.The algorithm of the radar signal processing and the tracking algorithm are verified by the actual scene.The detection and tracking performance of UAV obstacle avoidance radar targets has reached the basic requirement of UAV obstacle avoidance.