摘要
在分析基于相位差变化率二维无源定位原理和方法的基础上,建立了测向误差和测距误差模型。通过分析误差模型发现,相位差变化率误差是影响定位误差的主要因素。采用数字仿真的方式,分析了目标与观测站相对位置、相位差误差对测向误差的影响,以及测向误差、相位差变化率误差对相对测距误差的影响。最后采用扩展卡尔曼滤波的方法对测距数据进行处理,实现了相对测距误差的快速收敛,进而有效提高了运动观测站对固定目标的无源定位精度。
The model of direction finding error and ranging error were established based on the principle and method of two-dimensional passive location.The analysis of error model show that,phase difference change rate error was the main influence factor of location error.In addition,not only the influence of relative position of target and observation station on azimuth error,but also the influence of direction finding error and phase difference rate error on distance measurement were analyzed.Finally,the relative ranging error of the ranging data was realized by using extended Kalman filter(EKF),which effectively improves the passive positioning accuracy of the moving observation station to the fixed target.
作者
姜智强
山世浩
张恒
黄烽
JIANG Zhi-qiang;SHAN Shi-hao;ZHANG Heng;HUANG Feng(China Luoyang Electronic Equipment Test Center,Henan Luoyang 471003,China)
出处
《现代防御技术》
2020年第1期57-61,112,共6页
Modern Defence Technology
关键词
无源定位
相位差变化率
测向误差
测距误差
干涉仪
扩展卡尔曼滤波
passive location
phase difference rate
direction finding error
ranging error
interferometer
extended Kalman filter(EKF)