固定观测站对运动辐射源定位的IEKF算法及仿真  

IEKF Algorithm and Simulation of Passive Location to Moving Target by Single Fixed Observer

作　　者：李炳荣[1] 马强[2] 丁善荣[3] 

机构地区：[1]海军航空工程学院电子信息工程系,山东烟台264001 [2]海军航空工程学院训练部,山东烟台264001 [3]海军司令部第四部,北京100841

出　　处：《战术导弹技术》2012年第5期94-98,共5页Tactical Missile Technology

摘　　要：基于到达方位角(DOA)和到达时间差(DTOA)等观测信息,实现了单个固定观测站对运动辐射源无源定位和跟踪。为克服扩展卡尔曼滤波(EKF)算法线性化过程对预测误差放大,导致定位结果发散或不稳定的缺陷,引出了迭代扩展卡尔曼滤波(IEKF)算法。在获得某个预测值后,通过多次更新状态估计,使之逐渐拟合当前观测量,以提高目标状态估计的精度。仿真结果表明,在一定的观测误差条件下,IEKF算法比EKF算的定位跟踪收敛速度更快、精度更高。Passive location and tracking to a moving emitter by a fixed observer can be realized based on the information of the Director of Arrival（DOA） and the Difference Time of Arrival（DTOA）.In order to get over the shortcoming that the forecast error is blown up in the linearity process of the extended Kalman filter（EKF）,and location result is disperse or unstable,the iterated extended Kalman filter（IEKF） is bring forward.One forecast has been obtained,the status estimation will be renewed repeatedly.It is drawn up the observation gradually,and the precision of the status estimation is increased.Simulation shows that under the condition of definite observation error,the convergence is more quickly and the result is more accuracy in locating and tracing the emitter target by IEKF than EKF.

关 键 词：无源定位 EKF IEKF 

分 类 号：TN97[电子电信—信号与信息处理]