摘要
首先提出了一种测量目标方位角和俯仰角、实现运动单站对固定辐射源进行三维无源定位的伪线性滤波算法(PLF)。该算法利用伪测量值,将非线性测量方程变为线性伪测量方程,实现对目标状态的实时估计。该方法无需预先精确地获得目标的初始状态,克服了扩展卡尔曼滤波(EKF)算法容易发散等缺点,从而获得了稳定的目标状态估计。计算机仿真结果证明了上述方法的有效性。
A pseudo linear filter algorithm based on the measurements of pitch and azimuth angles for 3D passive location and tracking of fixed emitters is given. This algorithm makes use of the pseudo measurements to change the nonlinear measurement equation to pseudo linear one, realizing the realtime estimation of target states. Dispensing with the initial state estimation accurately made in advance, the algorithm overcomes the defects of the extending Kalman filter algorithm, and hence obtains a stable location performance. The results of computerized simulation show that the algorithm is effective.
出处
《雷达与对抗》
2006年第3期8-10,共3页
Radar & ECM
关键词
雷达
无源定位
伪线性滤波算法
radar
passive location
pseudo linear filtering
