| The maturity of drone technology has brought great convenience to all walks of life.In recent years,an endless number of drone "black flight" incidents have seriously affected the operational safety of airports.The airport’s radar can detect illegal drones thousands of meters away,but ground personnel are required to cooperate with target disposal.At present,ground patrol personnel mainly rely on human eyes to observe and track illegally intruding UAVs,and lack devices for instructing and guiding UAVs.For this reason,based on the target coordinate conversion algorithm,position prediction algorithm and attitude fusion algorithm,this paper researches and designs a target guidance device based on the radar detection results to provide patrol personnel with directions and guidance for the orientation of the UAV.Help them discover and track targets in time.To obtain the relative relationship between the target and the device position,this paper first studies the coordinate system and coordinate transformation methods commonly used in navigation and positioning,and calculates the slant distance between the target and the device through the target coordinate conversion algorithm based on Gauss Kruger projection,azimuth and elevation angles.The radar periodically rotates to search for the target,and the air condition information of the target received by the device is also periodically updated.In order to improve the guidance accuracy of the device to the dynamic target,the time compensation is first performed on the target position,and then according to the change rule of the target position over time,the minimum The square method predicts the position of the target at the next moment,and outputs the guidance information in the form of linear interpolation.In order to obtain the azimuth and pitch angle difference between the target position and the current orientation of the device,this paper studies the positioning and orientation principle of the GNSS board used by the device,then analyzes the GNSS environmental interference problem,and proposes corresponding improvement measures.When the GNSS board fails to orient,MEMS attitude sensors are used to provide auxiliary attitude information to the device through attitude data fusion.Finally,the hardware and software design of the target guidance device is completed on the basis of relevant theories.The device receives the target air situation information and radar geographic location information issued by the command and dispatch system through the radio communication equipment,and combines the device geographic location information obtained by the GNSS positioning and orientation board to perform target coordinate conversion and prediction.At the same time,GNSS positioning and orientation boards and MEMS attitude sensors are used to measure the current azimuth and pitch angle of the device,and the difference between the actual target and the current azimuth and pitch angle of the device is obtained,and sent to the sighting equipment and mobile terminal software to guide the ground patrol Personnel spot and track targets.Through the actual test of the target guidance device,it is verified that the device’s indication accuracy for static targets is 1°;for dynamic targets with a flight speed of 15 m/s,the guidance and indication accuracy of the device is 3°. |