| 基于积分域匹配滤波的系统误差检测 |
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| 引用本文： | 段晓君,朱炬波,王光新. 基于积分域匹配滤波的系统误差检测[J]. 中国空间科学技术, 2006, 26(1): 17-21,58 |
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| 作者姓名： | 段晓君 朱炬波 王光新 |
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| 作者单位： | 国防科学技术大学,国防科学技术大学,国防科学技术大学 长沙410073,长沙410073,长沙410073 |
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| 基金项目： | 中国科学院资助项目;教育部全国优秀博士学位论文作者专项基金 |
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| 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。
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| 关 键 词： | 系统误差 匹配滤波 目标跟踪 |
| 收稿时间： | 2004-08-10 |
| 修稿时间： | 2004-08-102004-10-25 |
Detection of Systematic Error Based on Integral Matched Filter |
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| Duan Xiaojun,Zhu Jubo,Wang Guangxin. Detection of Systematic Error Based on Integral Matched Filter[J]. Chinese Space Science and Technology, 2006, 26(1): 17-21,58 |
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| Authors: | Duan Xiaojun Zhu Jubo Wang Guangxin |
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| Affiliation: | National University of Defense Technology, Changsha 410073 |
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| Abstract: | 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.And the simulation result also verifies this(conclusion). |
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| Keywords: | Systematic error Matched filtering Target tracking Spacecraft |
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