基于时间滑窗的混合Hausdorff距离航迹关联算法  

Hybrid Hausdorff Distance Track Correlation Algorithm Based on Time Sliding Window

作　　者：李寅龙 张天舒 LI Yinlong;ZHANG Tianshu(Naval Aviation University,Yantai 264001)

机构地区：[1]海军航空大学,烟台264001

出　　处：《舰船电子工程》2021年第10期52-56,60,共6页Ship Electronic Engineering

摘　　要：在多传感器目标跟踪中,航迹关联是全局态势统一的关键。Hausdorff距离已经应用于电力故障排除、点云数据、医学测量、图像分割、车辆轨迹识别等各个方向。针对航迹关联问题,改进了传统的Hausdorff距离,提出基于时间滑窗的混合Hausdorff距离航迹关联算法,定义了基于位置、速度、方位角的混合Hausdorff距离,并在此基础上加入了时间滑窗。仿真结果表明论文算法在目标机动、野值较多、时间异步、雷达采样频率不一致等情况下能够保持较高的正确关联率,优于传统的航迹关联算法。In multi-sensor target tracking,track correlation is the key to the unification of global situation.Hausdorff distance has been applied to power fault elimination,point cloud data,medical measurement,image segmentation,vehicle trajectory recognition and other directions.To solve the problem of track correlation,the traditional Hausdorff distance is improved,and a hybrid Hausdorff distance track correlation algorithm based on time sliding window is proposed.The hybrid Hausdorff distance based on position,speed and azimuth is defined,and the time sliding window is added on this basis.Simulation results show that the proposed algorithm can maintain a high correct correlation rate under the conditions of target maneuver,many outliers,time asynchronism,and inconsistent radar sampling frequency,and is superior to the traditional track correlation algorithm.

关 键 词：航迹关联 HAUSDORFF距离 时间滑窗 时间异步 

分 类 号：TN957[电子电信—信号与信息处理]