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均值平移模型序贯粗差探测法研究与应用

尚延生 宋力杰 李建中

海洋测绘2012,Vol.32Issue(3):15-17,3.
海洋测绘2012,Vol.32Issue(3):15-17,3.DOI:10.3969/j.issn.1671-3044.2012.03.005

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

尚延生 1宋力杰 2李建中1

作者信息

  • 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
  • 折叠

摘要

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.

关键词

均值平移模型/序贯粗差探测/算法

Key words

expectation drift model/sequential detection of gross errors/algorithm

分类

天文与地球科学

引用本文复制引用

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,2012,32(3):15-17,3.

海洋测绘

OACSTPCD

1671-3044

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