基于积分域匹配滤波的系统误差检测  

Detection of Systematic Error Based on Integral Matched Filter

作　　者：段晓君[1] 朱炬波[1] 王光新[1] 

机构地区：[1]国防科学技术大学,长沙410073

出　　处：《中国空间科学技术》2006年第1期17-21,58,共6页Chinese Space Science and Technology

基　　金：国家自然科学基金(60272013);全国优秀博士论文作者专项基金项目(200140)

摘　　要：目标跟踪中,如果用于数据融合的位置或速度测元中存在系统误差,可采用最小二乘意义上的微分平滑进行滤波及系统误差诊断。由于微分平滑精度较低,由此提出积分域匹配滤波,同时用这种方法检测系统误差。数学推导证明了积分域检测系统误差的精度高于微分平滑,仿真结果亦证实了此结论。As far as the target tracking system is concerned, if the measurement units applied in data fusion, such as location or velocity, have systematic error, the Least-square differential smooth method can be used to filter and detect the systematic error. Since the processing precision of differential smooth method is low, a method of integral matched filter is proposed. The mathematical deduction testifies that this method can obtain more precise systematic error estimation than the differential smooth method. conclusion. And the simulation result also verifies this

关 键 词：系统误差 匹配滤波 目标跟踪 航天器 

分 类 号：TP301[自动化与计算机技术—计算机系统结构] TG659[自动化与计算机技术—计算机科学与技术]