三种实时误差配准算法性能分析与比较  

Performance Comparision and Analysis of Three Real-Time Registration Bias Estimation Algorithms

作　　者：崔亚奇[1] 宋强[1] 何友[1] 

机构地区：[1]海军航空工程学院信息融合技术研究所,山东烟台264001

出　　处：《火力与指挥控制》2011年第9期55-59,共5页Fire Control & Command Control

基　　金：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 KalmanFilter)、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、估计的一致性检验和算法耗时等方面对算法进行了性能比较。根据仿真的结果并结合分析对算法做出评价,从而为实际系统选用合适的估计算法提供了有益指导。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.

关 键 词：误差配准 Cramer-Rao下限 一致性检验 雷达组网 

分 类 号：E9[军事]