摘要
从二维直接扩展到三维的仅测向定位算法难以对直线测站轨迹正上方的目标进行定位,正交矢量估计算法(OVE)解决了这一问题,但其仅利用了俯仰面的正交矢量,定位精确度较低,也不能仅用2次测向数据就进行定位。本文从正交性原理出发,同时利用俯仰面和方位面的正交信息,推导得到了扩展OVE(EOVE)算法,并提出了基于雷达坐标系的EOVE算法。仿真结果表明,新算法延续了OVE算法的优点,可以定位直线测站轨迹正上方的目标,而精确度优于OVE算法,并能仅利用2次测向结果进行定位,实用价值高。
Existing bearing-only localization methods do not work in the scenario that the target is above the linear trajectory of the measuring station.The Orthogonal Vector Estimator(OVE)algorithm can solve this problem while can not perform localization when only two measurements of bearings are utilized because only vectors orthogonal to the elevation plane are used by OVE.An Extended OVE(EOVE)algorithm and its transformed version based on radar coordinates system,which simultaneously utilize vectors orthogonal to the elevation plane and those orthogonal to the azimuth plane,are proposed in this paper.Simulation results reveal that proposed algorithms can work well with more accuracy when the target is above the linear trajectory of measuring stations,can also work well when there are only two measurements of bearings available.
作者
刘剑
王董礼
肖楠
孙启禄
杨霄鹏
LIU Jian;WANG Dongli;XIAO Nan;SUN Qilu;YANG Xiaopeng(Information and Navigation College,Airforce Engineering University,Xi’an Shaanxi 710077,China)
出处
《太赫兹科学与电子信息学报》
北大核心
2020年第1期77-81,共5页
Journal of Terahertz Science and Electronic Information Technology
基金
国家自然科学基金资助项目(61871474)
关键词
无源定位
交叉定位
三维
正交矢量
最小二乘
passive localization
triangulation
three dimensional
orthogonal vector
least square