A robust weighted total least squares method

Xunqiang Gong, Zhilin Li

Research output: Journal article publicationJournal articleAcademic researchpeer-review

20 Citations (Scopus)

Abstract

In weighted total least squares, gross errors of observation data are not taken into consideration. In order to resolve this problem, a robust method of weighted total least squares with reweighting iteration is proposed, which is based on IGG weight function. Thorough experimental evaluation with a large number of simulation datasets and a set of real-life data has been carried out. The results of parameter estimations are systematically compared with weighted total least squares, and robust weighted total least squares based on Huber weight function. It is shown that: ①more reliable parameter estimations can be obtained by two robust weighted total least squares; ②more importantly, the proposed method performs better than the two others.
Original languageEnglish
JournalCehui Xuebao/Acta Geodaetica et Cartographica Sinica
Volume43
Issue number9
DOIs
Publication statusPublished - 1 Jan 2014
Externally publishedYes

Keywords

  • Huber weight function
  • IGG weight function
  • Reweighting iteration
  • Robust WTLS
  • Weighted total least squares (WTLS)

ASJC Scopus subject areas

  • Earth and Planetary Sciences(all)

Cite this