基于TOA/TDOA的一致性正交容积卡尔曼跟踪算法  

Unified Orthogonal Cubature Kalman Tracking Algorithm Based on TOA/TDOA

作　　者：闫雷兵 陆音[2] 张业荣[2] YAN Lei-bing;LU Yin;ZHANG Ye-rong(Department of Electronics and Communication Engineering,Henan Institute of Technology,Xinxiang,Henan 453003,China;College of Electronic Science and Engineering,Nanjing University of Posts and Telecommunications,Nanjing,Jiangsu 210003,China)

机构地区：[1]河南工学院电子通信工程系,河南新乡453003 [2]南京邮电大学电子科学与工程学院,江苏南京210003

出　　处：《电子学报》2018年第8期1989-1996,共8页Acta Electronica Sinica

基　　金：国家自然科学基金(No.61271236;No.61601245);东南大学毫米波国家重点实验室开放课题(No.K201724);中国博士后基金(No.2016M601693);南京邮电大学科研项目(No.NY213081)

摘　　要：针对异构网络环境下目标跟踪系统中面临的非线性估计问题,提出了一种基于正交容积卡尔曼滤波的目标跟踪算法.文中算法首先引入一个附加变量来表示状态变量中的非线性项,设定自适应加权因子来调整不同信号输入系统的比重,然后利用数学手段融合两种信号为单一的状态变量,最后通过正交容积卡尔曼滤波来实现目标状态量的更新,从而实现对目标的定位与跟踪.仿真结果表明了文中算法的有效性,能够得到更高的定位与跟踪精度.In view of the nonlinear estimation problem of target tracking system under heterogeneous network environment,a unified orthogonal cu bature Kalman target tracking(UOCKT)approach is proposed.The new approach int roduce an additional variable to represent the nonlinear terms of the state vari ables,the adaptive weighting factor is set to adjust the specific gravity of th e different signal input system,and then the two kinds of signals are merged in to a single state variable by mathematical means,and finally through the orthog onal cubature Kalman filter(OCKF)to achieve the target state quantity update,so as to realize the positioning and tracking of the target.The simulation resu lts show that the algorithm is effective and can get higher positioning and trac king accuracy.

关 键 词：目标跟踪 异构网络 正交容积卡尔曼滤波 到达时间 到达时间差 

分 类 号：TN953[电子电信—信号与信息处理]