一种基于最优在线无偏估计的空间配准方法  

An Approach for Space Registration Based on Nonparametric Estimation

作　　者：常超伟[1] 王世锋[2] 李丽君[1] 黄义杰 宋航 CHANG Chao-wei;WANG Shi-feng;LI Li-jun;HUANG Yi-jie;SONG Hang(North Automatic Control Technology Institute,Taiyuan 030006,China;School of Finance,Shanxi University of Finance & Economics,Taiyuan 030006,China)

机构地区：[1]北方自动控制技术研究所,太原030006 [2]山西财经大学金融学院,太原030006

出　　处：《火力与指挥控制》2019年第10期158-162,共5页Fire Control & Command Control

基　　金：国家自然科学基金资助项目(61371064;61603006)

摘　　要：提出了一种最优在线无偏估计(BLUE)方法,能够对时变系统误差进行实时在线估计,但是该方法是基于二维公共直角坐标系内平移变换的,不能直接在实际工程中应用。针对上述问题,提出了基于ECEF坐标转换的BLUE方法,解决了多传感器多目标背景下的绝对空间配准问题;同时将改进后的BLUE方法应用到相对空间配准问题中,结果验证了该方法的正确性和有效性。A method of best online unbiased estimation (BLUE)is proposed in reference [1]. It can estimate the time -changed system error in real time, but the method is based on the translation transformation of 2D common Cartesian coordinate, so it can’t be applied to real project directly. A method of BLUE based on ECEF coordinate transformation solves the problem of absolute space registration in the scene of multi -sensor and multi -target. When it is applied to relative space registration, the result illustrates its correctness and effectiveness.

关 键 词：最优在线无偏估计 绝对空间配准 相对空间配准 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]