一种基于角度和时差信息的改进型滤波算法  

A Modified Filter Algorithm Based on Direction of Arrivals and Time Differences of Arrivals

作　　者：王鼎[1] 

机构地区：[1]解放军信息工程大学信息工程学院,郑州450002

出　　处：《电子对抗》2007年第6期24-27,33,共5页Electronic Warfare

摘　　要：联合角度（DOA）信息和时差（TDOA）信息对运动目标进行多站无源定位实质上是一种非线性估计问题。文章基于DOA和TDOA信息，提出了二种多站对三维空间目标进行定位跟踪的修正增益扩展卡尔曼滤波（MGEKF）算法，文中分别推导了角度观测方程和时差观测方程的修正增益函数。计算机仿真表明该算法的定位精度和稳健性能均要高于扩展卡尔曼滤波（EKF）算法。The multi-station passive location to moving targets based on direction of arrival （DOA） and time differences of arrival （TDOA）information is a nonlinear estimation problem. Based on DOA and TDOA information, a modified gain extended kalnmn filter （MGEKF） algorithm for multi-station to locate and track 3-D moving emitters is presented in this paper. The modified gain functions of DOA and TDOA measurement equations are deduced. The simulations show its location accuracy and steadiness are higher than that of extended kalman filter （EKF） algorithm.

关 键 词：无源定位 角度 时差 修正增益扩展卡尔曼滤波 

分 类 号：TN911.7[电子电信—通信与信息系统]