基于卡尔曼滤波的无源定位精度分析  

Accuracy Analysis of Passive Location Based on Kalman Filter

作　　者：李永生 董光焰[1,2] 陈凯 谢亚峰[1,2] 唐金力 LI Yongsheng;DONG Guangyan;CHEN Kai;XIE Yafeng;TANG Jinli(The 27th Research Institute of China Electronics Technology Croup Corporation,Zhengzhou 450047,China;Key Laboratory of Lidar and High Power Application,Zhengzhou 450047,China)

机构地区：[1]中国电子科技集团公司第二十七研究所,郑州450047 [2]河南省激光雷达与大功率应用技术重点实验室,郑州450047

出　　处：《弹箭与制导学报》2022年第4期43-46,共4页Journal of Projectiles,Rockets,Missiles and Guidance

摘　　要：单站无源定位技术利用目标辐射的信号进行目标位置测量,具有隐蔽性好、抗干扰能力强等优点,有较高的研究价值。以某侦测平台红外导引头为研究背景,建立平台与目标之间的状态模型和测量模型方程,研究基于卡尔曼滤波算法的位置预估技术,引入导引头测角误差、平台定位误差、系统状态误差等系统误差量,分析了剩余误差的收敛时间,侦测平台定位精度、飞行速度、测角精度、目标距离等对目标位置预估剩余误差的影响。仿真结果表明通过不断优化系统参数和模型,卡尔曼滤波算法计算精度高,可以较好的抑制发散及误差的不利影响。The observation of single station passive location based on the signal radiated by the target to measure the position of target,which has the advantages of concealment and anti-interference ability.This paper,whose research background is one infrared seeker of a detection system,establishes the system state model and measurement model,and the technology of position estimation based on Kalman filter is studied.The effects of positioning accuracy,flight speed,angle measurement accuracy and target distance on the residual error of target position are analyzed.The simulation shows that the Kalman filter algorithm has high calculation accuracy,and can suppress the adverse effects of divergence and measurement error by optimizing the system model and parameters.

关 键 词：单站无源定位 测距误差 卡尔曼滤波算法 

分 类 号：E911[军事]