摘要
利用多尺度小波变换和分形的方法,对一个或多个传感器观测到的航迹数据序列进行多层次分析,动态提取航迹数据的特征,建立关联准则,以形成一个目标的主要航迹,并结合Kalman滤波的方法,实现了目标航迹自动关联和追踪的目的.仿真实验表明这种方法是可行且有效的.
By using the method of multi-dimensional wavelet analysis and fractal to analyze the track data with one or more sensors observed, and getting the characteristics of the track data dynamicly, setting up the association criterion, forming the main tracks of a target, and combined with Kalman filtering, the purpose of track correlation and tracing are realized. The simulation results show this algorithm is effective to solve the association problem of the sensor tracks.
出处
《沈阳理工大学学报》
CAS
2006年第4期47-50,58,共5页
Journal of Shenyang Ligong University
关键词
航迹追踪
多尺度小波分析
分形维数
KALMAN滤波
tracks tracing
multi-dimensional wavelet analysis
fractal dimension
Kalman filtering
