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三种实时误差配准算法性能分析与比较
引用本文:崔亚奇,宋强,何友. 三种实时误差配准算法性能分析与比较[J]. 火力与指挥控制, 2011, 36(9): 55-59
作者姓名:崔亚奇  宋强  何友
作者单位:海军航空工程学院信息融合技术研究所,山东烟台,264001
基金项目:教育部新世纪优秀人才支持计划基金(NCET-05-0912); 国家自然科学基金(60672140); 全国优秀博士论文作者专项基金资助项目(200237)
摘    要:对雷达组网中现有的三种实时误差配准算法即扩维扩展卡尔曼滤波算法(Augmented State Extended Kalman Filter)、解耦卡尔曼滤波算法(decoupled Kalman Filter)和准确算法(Exact method)进行了介绍与分析,并通过蒙特卡罗仿真试验从算法估计的均方根误差、估计的...

关 键 词:误差配准  Cramer-Rao下限  一致性检验  雷达组网

Performance Comparision and Analysis of Three Real-Time Registration Bias Estimation Algorithms
CUI Ya-qi,SONG Qiang,HE You. Performance Comparision and Analysis of Three Real-Time Registration Bias Estimation Algorithms[J]. Fire Control & Command Control, 2011, 36(9): 55-59
Authors:CUI Ya-qi  SONG Qiang  HE You
Affiliation:CUI Ya-qi,SONG Qiang,HE You(Research Institute of Information Fusion,Naval Aeronautical Engineering Institute,Yantai 264001,China)
Abstract:The three real-time bias registration algorithms,developed recently in radar networking systems,which are augmented state extended kalman filter,decoupled Kalman filter and exact method are analysed in this paper.The comparision is given by simulation in three aspects of root mean square error,consistency test and time-using.Based on the simulation result and the analysis of the three algorithms,the guidance is given in the practical choice of estimation algorithms.
Keywords:sensor registration  Cramer-Rao low bound  consistency Test  radar networking  
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