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均值平移模型序贯粗差探测法研究与应用
引用本文:尚延生,宋力杰,李建中.均值平移模型序贯粗差探测法研究与应用[J].海洋测绘,2012(3):15-17.
作者姓名:尚延生  宋力杰  李建中
作者单位:[1]61365部队,天津300140 [2]解放军信息工程大学测绘学院,河南郑州450052
摘    要:针对均值平移模型粗差探测算法存在的不足,研究了粗差探测的计算过程,分析了影响计算速度的原因,提出了序贯粗差探测法,利用分块矩阵,对计算过程进行了优化。通过实测数据,验证了此方法的有效性。

关 键 词:均值平移模型  序贯粗差探测  算法

Research and Application of Expectation Drift Mode Sequential Gross Error Detection
SHANG Yansheng,SONG Lijie,LI Jianzhong.Research and Application of Expectation Drift Mode Sequential Gross Error Detection[J].Hydrographic Surveying and Charting,2012(3):15-17.
Authors:SHANG Yansheng  SONG Lijie  LI Jianzhong
Institution:1.61365 Troops, Tianjin 300140, China; 2. Institute of Surveying and Mapping, Information Engineering University, Zhengzhou 450052, China)
Abstract:Aimed at the disadvantages in data snooping algorithm to find observation gross errors ,the calculation process about model data snooping is detailed. Sequential detection of gross error, a new scheme based on the reduction principle of predecessor' s research, was developed to reduce the calculation amount of the gross error detection. By using the block matrices it gets the fast calculation for the inverse matrix of covariance matrix. Meanwhile, the results indicate that it greatly improve the efficiency of gross error snooping.
Keywords:expectation drift model  sequential detection of gross errors  algorithm
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