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基于小波分形和Kalman滤波的航迹追踪方法
引用本文:遇婷,王琰.基于小波分形和Kalman滤波的航迹追踪方法[J].沈阳理工大学学报,2006,25(4):47-50,58.
作者姓名:遇婷  王琰
作者单位:沈阳理工大学,信息科学与工程学院,辽宁,沈阳,110168
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.

关 键 词:航迹追踪  多尺度小波分析  分形维数  Kalman滤波
文章编号:1003-1251(2006)04-0047-04
收稿时间:2005-09-07
修稿时间:2005-09-07

The Tracks Tracing Method Based on Wavelet-Fractal and Kalman Filtering
YU Ting,WANG Yan.The Tracks Tracing Method Based on Wavelet-Fractal and Kalman Filtering[J].Transactions of Shenyang Ligong University,2006,25(4):47-50,58.
Authors:YU Ting  WANG Yan
Affiliation:Shenyang Ligong University, Shenyang 110168, China
Abstract: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.
Keywords:tracks tracing  multi-dimensional wavelet analysis  fractal dimension  Kalman filtering
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