CDKF方法在外辐射源单站无源目标跟踪中的应用  

Application of CDKF method in single observer passive tracking based on opportunity transmitters

作　　者：朱联祥[1] 陈仁[1] 王红海[1] 况卢娟[1] 

机构地区：[1]重庆邮电大学信号与信息处理重庆市重点实验室,重庆400065

出　　处：《重庆邮电大学学报（自然科学版）》2009年第6期699-703,共5页Journal of Chongqing University of Posts and Telecommunications(Natural Science Edition)

基　　金：重庆市科委自然科学基金项目(2008BB2087);重庆市教委自然科学基金项目(KJ080502);重庆邮电大学博士启动项目(A2007-56)

摘　　要：针对外辐射源单站无源目标跟踪精度问题,将一种基于Sterling内插公式的新的非线性滤波算法—中心差分卡尔曼滤波算法(central difference Kalman filter,CDKF)应用到系统中。仿真结果表明,与传统的扩展卡尔曼滤波算法(extended Kalman filter,EKF)相比,CDKF具有更高的定位精度,且不需要计算Jacobian矩阵,更易实现;而与无迹卡尔曼滤波算法(unscented Kalman filter,UKF)相比,CDKF只有一个待优化的比例参数,参数的选择更加方便,且定位精度更高,所需运算时间更少。For the problem of location performance of single observer passive object tracking based on opportunity transmitters, a new nonlinear filtering method CDKF based on Sterling interpolation formulation was applied to this tracking system. The simulation results show that CDKF is superior to the extended Kalman filter （EKF） in accuracy and is easier to implement without computing Jacobian matrices. Compared with unscented Kalman filter （UKF）, CDKF method just has only one parameter to optimize, which makes parameter selection more convenient and location more accurate, and then less time is needed.

关 键 词：外辐射源 单站无源目标跟踪 中心差分卡尔曼滤波器 

分 类 号：TN953[电子电信—信号与信息处理] TN958.97[电子电信—信息与通信工程]