基于Matlab APP Designer的紧凑型高频地波雷达多目标跟踪平台设计与开发OA

Multi-target tracking using compact high frequency surface wave radar(HFSWR)faces challenges such as track initiation delay,track fragmentation,and false tracking.In view of this,a track initiation method based on multi-frame clustering,a plot-to-track association method using heading assistance,and a state estimation method based on the converted measurement Kalman filter are discussed.These methods are integrated into a multi-target tracking platform using Matlab APP Designer for student experiments.The platform realizes the functions of plot data file reading,dynamic multi-target tracking,and tracking case analysis.It can calculate key parameters such as target tracking time,track quality index,and the maximum detection range.Experiments and tests using field data were conducted to evaluate the platform performance.The results show that the average processing time for each frame of data is 0.7 s,the root mean square errors(RMSEs)in terms of range and azimuth are 1.31 km and 3.6°,respectively,and the average tracking time is 46.57 min,which satisfies the requirements of real-time performance,accuracy and continuity of target tracking in practical engineering applications.