摘要
传统的三角定位是通过对位置的估计实现的,而本文提出了一种基于两观察站位置偏差估计对运动辐射源定位的方法,采用优化的最小二乘和卡尔曼滤波算法实现定位.这种算法可使定位误差圆概率模糊区迅速减小,即缩短收敛时间,实现了快速定位跟踪的目的.建立了位置偏差的状态方程和测量方程,用上述算法进行了计算机仿真.并与位置估计仿真曲线进行了比较,该方法与位置估计相比,收敛时间从2s提高到1s,并且提高了定位精度.
An algorithm of passive location different from traditional triangulation bearing position estimation is proposed to estimate the position error by two station triangulation bearing. This algorithm can not only reduce CEP blurring area and convergence time, but also achieve rapid tracking and locating moving targets. The state and vision equations are established for location and track of moving radiation sources. The convergence time of location and track is reduced by one second when in comparison with position estimation.
出处
《哈尔滨工程大学学报》
EI
CAS
CSCD
2002年第6期85-88,共4页
Journal of Harbin Engineering University
关键词
无源定位
最小二乘估计
卡尔曼滤波
三角交叉定位
passive location
least-square estimation
Kalman filter
triangulation bearing.
