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带有区间不确定性的约束平差算法及应用
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  • 英文篇名:An algorithm with interval uncertain constraint in adjustment model and its application
  • 作者:肖兆兵 ; 宋迎春 ; 谢雪梅
  • 英文作者:XIAO Zhaobing;SONG Yingchun;XIE Xuemei;School of Geosciences and Info-Physics,Central South University;
  • 关键词:Kuhn-Tucker条件 ; 参数区间不确定性 ; 病态问题 ; 岭估计 ; 奇异值分解
  • 英文关键词:Kuhn-Tucker condition;;interval uncertain of parameter;;morbid problem;;ridge estimaticon;;singular value decomposition
  • 中文刊名:CHKD
  • 英文刊名:Science of Surveying and Mapping
  • 机构:中南大学地球科学与信息物理学院;
  • 出版日期:2017-11-21 16:40
  • 出版单位:测绘科学
  • 年:2018
  • 期:v.43;No.239
  • 基金:国家自然科学基金项目(41574006,41674009)
  • 语种:中文;
  • 页:CHKD201805017
  • 页数:5
  • CN:05
  • ISSN:11-4415/P
  • 分类号:103-107
摘要
针对测量数据中带有区间约束先验信息和附加信息,基于Kuhn-Tucker条件,将测量平差问题转化为二次规划问题,该文提出了一种处理参数带有区间不确定性的新算法,给出了算法具体模型和解算步骤,并且通过模拟数值实验和病态测边网数据计算,分析了在处理病态问题时,最小二乘平差的局限性,通过与岭估计和奇异值分解法的结果相比较,说明了参数带有区间不确定性的平差算法的有效性。
        Considering the measurement data contains prior information and additional information.Based on Kuhn-Tucker condition used in quadratic programming,this paper propose a new algorithm with interval uncertain,and give its concrete model and solving steps.According to the results of simulated experiment and ill-posed trilateration net data,it shows that the least-squares has limitation when processing morbid problem.Compared with the results of ridge estimation and singular value decomposition(SVD),it shows that the algorithm with interval uncertain of parameter is effective.
引文
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