基于外辐射源的AIEKF定位算法  

Location Algorithm of AIEKF Based on Non-cooperative Illuminator

作　　者：关欣 吕政君 许小丰 GUAN Xin;LYU Zheng-jun;XU Xiao-feng(Naval Aviation University,Yantai 264001,China;Science and Technology on Communication Information Security Control Laboratory,Jiaxing 314033,China)

机构地区：[1]海军航空大学,山东烟台264001 [2]通信信息控制和安全技术重点实验室,浙江嘉兴314033

出　　处：《火力与指挥控制》2018年第6期37-40,46,共5页Fire Control & Command Control

基　　金：国家自然科学基金资助项目(61671463)

摘　　要：为了提高扩展卡尔曼滤波(EKF)定位算法对目标状态估计的精度,降低迭代扩展卡尔曼滤波(IEKF)算法的运算复杂度,在单发单收的外辐射源定位体制下,利用方向角(DOA)和多普勒频移(Doppler)信息,提出了一种自适应迭代扩展卡尔曼滤波(AIEKF)定位算法,实现了对空中运动目标位置和速度的估计。仿真实验结果表明,相比于EKF算法,AIEKF算法收敛速度更快、定位精度更高。To improve the estimation accuracy of the status estimation in Extended Kalman Filter（EKF）and reduce the running time of Iterated Extended Kalman Filter,on the passive location method with one transmitter and one receiver using Direction of Arrival（DOA） and Doppler measurements,the Adaptive Iterated Extended Kalman Filter（AIEKF） is bring forward in this paper and is used to estimate the position and velocity of the target. Simulation results shows that the convergence is more quickly and the result is more accuracy in locating the target by AIEKF than EKF.

关 键 词：外辐射源定位 自适应迭代扩展卡尔曼滤波(AIEKF) 方向角(DOA) 多普勒频移(Doppler) 

分 类 号：TN974[电子电信—信号与信息处理]