摘要
针对鸟类目标跟踪困难的问题,提出了考虑微多普勒特征的MHT算法。利用鸟类目标微多普勒特征进行目标参数估计,结合雷达探测结果,计算其微多普勒特征得分,将该得分引入MHT算法,作为航迹得分的一部分,实现了微多普勒特征与MHT算法的结合。仿真计算表明,该算法在航迹关联成功率上与传统MHT算法相比有明显提升,在航迹精确关联方面也优于传统MHT算法。
To aim at the difficulty of bird target tracking,MHT algorithm considering micro-Doppler feature is proposed.The micro-Doppler feature of bird target is used to estimate the parameters of target,and the micro-Doppler feature score is calculated based on the radar detection results.The score is introduced into the MHT algorithm as part of the track score,which realizes the combination of micro-Doppler feature and MHT algorithm.The simulation results show that the algorithm has a significant improve⁃ment in the success rate of track association compared with the traditional MHT algorithm,and is also superior to the traditional MHT algorithm in the accurate track association.
作者
汤华涛
察豪
刘峰
TANG Huatao;CHA Hao;LIU Feng(College of Electronic Engineering,Naval University of Engineering,Wuhan 430033)
出处
《舰船电子工程》
2020年第5期43-47,共5页
Ship Electronic Engineering
