上海交通大学学报

上海交通大学学报（自然版） ›› 2016, Vol. 50 ›› Issue (05): 771-775.

• 无线电电子学、电信技术 • 上一篇    下一篇

WGS-84坐标系下改进的广义最小二乘配准算法

李家强1a,2，赵春艳1b,2，陈金立1a,1b，赵荣华1b,2   

  1. （1.南京信息工程大学 a.气象灾害预报预警与评估协同创新中心； b.电子与信息工程学院，南京 210044; 2.江苏省气象探测与信息处理重点实验室，南京 210044）
  • 收稿日期:2015-08-06 出版日期:2016-05-28 发布日期:2016-05-28
  • 基金资助:
    国家自然科学基金资助项目（61372066;61302188）,江苏省自然科学基金资助项目（BK20131005）,江苏高校优势学科建设工程资助项目

A Modified Generalized Least Square Registration Algorithm on WGS-84 Coordinate

LI Jiaqiang1a,2,ZHAO Chunyan1b,2,CHEN Jinli1a,1b,ZHAO Ronghua1b,2   

  1. (1a. Climate and Weather Disasters Collaborative Innovation Center; 1b. School of Electronic and Information Engineering, Nanjing University of Information Science and Technology, 210044, China; 2. Jiangsu Key Laboratory of Meteorological Observation and Information Processing, Nanjing 210044, China)
  • Received:2015-08-06 Online:2016-05-28 Published:2016-05-28

摘要： 摘要： 针对广义最小二乘算法在WGS84坐标系中存在收敛速度慢及收敛性能不稳定的问题，提出了一种改进的广义最小二乘算法.该算法以收敛步数作为最小二乘算法中的量测精度加权因子，使得量测精度随着步数的变化而变化，从而实现了收敛步数的减少和收敛之后稳定性的改善，提高了目标跟踪定位的性能.仿真结果表明，改进的广义最小二乘算法优于广义最小二乘算法，进一步验证了该算法的有效性.

关键词: 广义最小二乘算法, 坐标配准, 目标跟踪, 量测精度

Abstract: Abstract： Aimed at the low convergence rate and unstable convergence performance of the generalized least squares algorithm on WGS84 coordinate, a modified generalized least square algorithm was proposed which took convergence steps as the weighting factor for measurement accuracy of the generalized least squares algorithm, making measurement accuracy vary with the changes of steps in order to achieve the decrease of the convergence steps and the advance of the stability after convergence. So this algorithm improves the performance of target tracking and positioning. Simulation results show that the modified generalized least square algorithm is superior to the generalized least square algorithm, verifying the feasibility of the proposed algorithm.

Key words: Key words： generalized least squares algorithm, coordinate registration, target tracking, measurement accuracy

中图分类号: