基于EKF的星地协同测向时差定位算法
Satellite-ground Integrated DOA TDOA Location Algorithm Based on EKF
王哲1
作者信息
- 1. 中国电子科技集团公司第五十四研究所,河北 石家庄 050081
- 折叠
摘要
针对无源定位协同化需求,文章提出一种利用到达角、到达时间差的星地协同定位方法,分别研究其定位原理,建立数学定位模型,给出解算方法以及定位精度的表达式,推导基于测向时差参数的扩展卡尔曼滤波(EKF)算法.仿真结果表明该方法能够达到较高的定位精度;此外,该定位模型仅需单星,避免了传统星载平台定位需要寻找匹配邻星的问题,与机动平台配合,可对辐射源进行快速高效定位,具备一定的工程应用价值.
Abstract
Aiming at the integrated requirement of passive location,a satellite-ground integrated location method using direction of arrival(DOA)and time difference of arrival(TDOA)is proposed.Locating principle is studied,locating mathematical model is established,the solving method and the expression of location accuracy are given,and the extended Kalman Filter(EKF)algorithm based on DOA and TDOA parameter is derived,respectively.The simulation results show that this method can get higher location accuracy;In addition,this locating model only needs single satellite,and the problem of finding matching adjacent-satellite in traditional spaceborne platform location is avoided.With the cooperation of mobile platform,it can get fast and efficient location result of the radiation source.This method has certain engineering application value.
关键词
无源定位/星地协同/测向时差/扩展卡尔曼滤波Key words
passive location/satellite-ground integrated/DOA TDOA/EKF引用本文复制引用
出版年
2024
NETL
NSTL
万方数据