常用稳健估计方法在测边网解算中的应用Application of commonly used robust estimation methods in trilateration networks adjustment
董巧玲,葛永慧
摘要(Abstract)：
针对最小二乘估计中稳健估计方法的效果尚未被分析证明的问题,该文以不同观测值数量、不同粗差数量和等权或不等权观测值的三个测边网为例,通过仿真实验的方法,对12种常用稳健估计方法的稳健性进行了比较,确定了对测边网解算相对更为有效的稳健估计方法。结果表明,L1法、Danish法、German-McClure法和IGGIII方案是12种方法中更为有效的稳健估计方法,能相对更有效地消除或减弱粗差对参数估计结果的影响。
关键词(KeyWords)： 稳健估计;测边网;仿真实验;粗差
基金项目(Foundation): 山西省自然科学基金项目(2012011015-2)
作者(Author): 董巧玲,葛永慧
DOI: 10.16251/j.cnki.1009-2307.2016.05.031
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