Research And Optimization Of Lidar Detection Method For Characteristic Parameters Of Aircraft Wake Vortex

The disturbance of wake vortex is strong and irregular,which is an important impact on aviation safety.The detection of the aircraft wake vortex by lidar can control and avoid the influence of wake vortex on aviation safety.Therefore,the wake vortex detection method,the calculation of characteristic parameters of wake vortex and the optimization of lidar detection are studied.First,the calculation method of the characteristic parameters of dynamic wake vortex based on lidar is designed.Starting from the physical model of the wake vortex,the calculation method of the characteristic parameters of the static wake vortex are obtained by analyzing the velocity of the wake vortex and the lidar detection result.The characteristics of wake vortex motion are further studied,and the calculation method of dynamic wake vortex characteristic parameters based on lidar is designed.The method improve the calculation accuracy and it can calculate the characteristic parameters more accurately.Second,the location of the lidar is optimized.The influence of the position of the lidar on accuracy is analyzed through the method of simulation calculation.The influence of the model on the optimal location of the lidar is analyzed,and the type of the landing aircraft are collected,and the lidar location suitable for the airport is designed.Third,the accuracy of the algorithm is verified by the detection experiment at the airport.The lidar is placed around the airport runway and the wake vortex detection experiment is operated.The calculation method of the wake vortex core is optimized and the position of the vortex core is corrected.And the corrected data is used to calculate the vortex circulation,which improves the accuracy of the algorithm.The dynamic wake vortex characteristic parameter calculation method is proposed in this paper,which can effectively calculate the characteristic parameters of the wake vortex through the detection data.Moreover,the accuracy of the algorithm is improved by optimizing the layout of the lidar,and the accuracy is improved by detecting the experimental data correction algorithm.