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约束总体最小二乘空间配准算法
引用本文:胡雷,林岳松,郭云飞. 约束总体最小二乘空间配准算法[J]. 火力与指挥控制, 2011, 36(10): 5-8
作者姓名:胡雷  林岳松  郭云飞
作者单位:杭州电子科技大学信息与控制研究所,杭州,310037
基金项目:国家自然科学基金(60805013); 国防预研基金资助项目
摘    要:相对于单个雷达而言,组网雷达能显著提高其融合系统的性能,但是在随机误差较大情况下,由于空间配准精度往往较低,其融合性能会显著下降.在忽略模型线性化误差的情况下,分析出这一缺点出现的原因是量测方程的系数矩阵中存在误差,进而利用系数矩阵误差存在统计相关性的特点,提出一种基于地心地固坐标系(ECEF)的约束总体最小二乘算法进...

关 键 词:雷达组网  空间配准  融合  约束总体最小二乘

Space Registration Algorithm Based on Constrictive Total Least Squares
HU Lei,LIN Yue-song,GUO Yun-fei. Space Registration Algorithm Based on Constrictive Total Least Squares[J]. Fire Control & Command Control, 2011, 36(10): 5-8
Authors:HU Lei  LIN Yue-song  GUO Yun-fei
Affiliation:HU Lei,LIN Yue-song,GUO Yun-fei(Institute of Information and Control,Hangzhou Dianzi University,Hangzhou 310037,China)
Abstract:Compared to a single radar,radar network can significantly improve the performance of the fusion system.The precision of space registration is generally low with the situation of big random error in radar network.This will lead to a significant decline in the fusion performance.In the case of neglecting model linearization errors,this shortcoming is due to the fact that the coefficient matrix of measurement equation exists errors.This paper presents the constrictive total least squares algorithm based on th...
Keywords:radar network  space registration  fusion  constrictive total least square  
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