一种双站交叉定位无偏估计滤波算法  

Nearly Unbiased Algorithm for 3-D Passive Location with Bearings-Only Measurements by Two Stations

作　　者：王鼎[1] 李长胜[2] 

机构地区：[1]解放军信息工程大学信息工程学院,河南郑州450002 [2]解放军信息工程大学理学院,河南郑州450002

出　　处：《现代防御技术》2009年第1期108-113,共6页Modern Defence Technology

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.

关 键 词：无源定位 两站 纯角度 广义特征分解 

分 类 号：TN953.7[电子电信—信号与信息处理] TN713[电子电信—信息与通信工程]