Least trimmed squares estimator with redundancy constraint for outlier detection in GNSS networks

作者：

Highlights：

• A new approach for detecting small and large outliers in GNSS networks.

• A novel robust estimator: Least Trimmed Squares with Redundancy Constraint (LTS-RC).

• A new definition of the search space for the metaheuristics.

• LTS-RC yielded a significant improvement in comparison with the classic LTS.

摘要

•A new approach for detecting small and large outliers in GNSS networks.•A novel robust estimator: Least Trimmed Squares with Redundancy Constraint (LTS-RC).•A new definition of the search space for the metaheuristics.•LTS-RC yielded a significant improvement in comparison with the classic LTS.

论文关键词：Robust estimation,Metaheuristics,Outlier detection,GNSS network,Search space

论文评审过程：Received 8 August 2016, Revised 7 July 2017, Accepted 8 July 2017, Available online 10 July 2017, Version of Record 12 July 2017.

论文官网地址：https://doi.org/10.1016/j.eswa.2017.07.009