均值平移模型序贯粗差探测法研究与应用  

Research and Application of Expectation Drift Mode Sequential Gross Error Detection

作　　者：尚延生 宋力杰[2] 李建中 

机构地区：[1]61365部队 [2]解放军信息工程大学测绘学院

出　　处：《海洋测绘》2012年第3期15-17,共3页Hydrographic Surveying and Charting

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。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.

关 键 词：均值平移模型 序贯粗差探测 算法 

分 类 号：P207.2[天文地球—测绘科学与技术]