摘要
针对基于外辐射源进行定位具有抗干扰、反隐身等特点,提出了一种在方位角、俯仰角信息的基础上,增加角度变化率信息的单站无源定位方法。同时引入一种适应非线性系统的修正协方差扩展卡尔曼滤波(MVEKF)算法,与推广卡尔曼滤波器(EKF)相比,MVEKF能更好地解决量测模型非线性问题。计算机仿真结果表明,该定位方法具有较好的定位精度和定位速度,具有很大的实用价值。
According to the characteristics of opportunity transmitter,such as electronic counter-countermeasure,detection of stealth targets,a passive location algorithm was proposed,which based on azimuth and elevation angle measurements adds to changing rates of angle.Meanwhile,a modified covariance extended Kalman filter（MGEKF） algorithm was introduced,which is good for nonlinear system.Compared with EKF,MVEKF can solve nonlinearity problem of observation model better.The computer simulation results indicated that the algorithm performs well in both the location precision and speed,which has good utility value.
出处
《安徽理工大学学报（自然科学版）》
CAS
2010年第4期40-43,共4页
Journal of Anhui University of Science and Technology:Natural Science
基金
总装备部基金资助项目(5140104C703CB0102)
关键词
无源定位
方位角
俯仰角
角度变化率
passive location
azimuth angle
elevation angle
rate of angle change
