摘要
论文对UWB中基于扩展卡尔曼滤波的TDOA跟踪定位算法研究。针对EKF算法会随着测量误差增大定位精度降低这一缺点,提出了一种自适应迭代扩展卡尔曼滤波算法(AIEKF),通过仿真对比表明该算法在测距误差增大时。
This paper studies the TDOA location tracing algorithm based on extended kalman filter in UWB. A kind of AEKF（adaptive iteration extended kalman filter）is proposed based on the disadvantage that the EKF algorithm＇s positioning accuracy re-duces with the increase of measurement error and the simulation results show that this algorithm can maintain good positioning accu-racy and convergence speed during the increase of the distance-measuring error.
作者
周恭谦
杨露菁
刘忠
ZHOU Gongqian;YANG Lujing;LIU Zhong(College of Electronic Engineering,Naval University of Engineering,Wuhan 43003)
出处
《舰船电子工程》
2018年第7期30-33,共4页
Ship Electronic Engineering
基金
国家自然科学基金(编号:61401493)资助
关键词
自适应扩展卡尔曼滤波
时差定位
目标跟踪
AEKF （adaptive iteration extended kahnan filter）
TDOA （ time difference of arrival）
location tracing
