摘要
针对将非线性观测方程转化为伪线性方程会产生有偏估计的缺点,基于两站纯角度信息,提出了一种对三维空间目标进行跟踪的近似无偏估计算法。该算法只需要对一对矩阵束进行广义特征分解,即可获得目标坐标和速度的估计值。计算机仿真结果表明该算法相比有偏估计算法(如伪线性卡尔曼滤波(PLKF)算法)具有更高的滤波精度,尤其当测向均方误差较大时,其优势更加明显。
It will result in biased or divergent solution according to the pseudo linear equation derived from measure equation. An efficient and nearly unbiased algorithm for 3-D moving emitters based on bearings-only measurements by two stations was presented, the target coordinates and velocity can be obtained via the generalized eigen-decomposition of a matrix pencil. The computer simulation shows that it has more filter accuracy than the unbiased algorithms （for example the pseudolinear kalman filter （PLKF） algorithm）. When the angle estimation variance decreases, it has more advantage.
出处
《现代防御技术》
北大核心
2009年第1期108-113,共6页
Modern Defence Technology
关键词
无源定位
两站
纯角度
广义特征分解
passive location
two stations
bearings-only
generalized eigen-decomposition
