Aeromagnetic compensation based on truncated singular value decomposition with an improved parameter-choice algorithm

Bin Gu, Qingli Li, Hongying Liu

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

38 Scopus citations

Abstract

As aircraft magnetic interference is much larger than the resolution of magnetic sensors, aeromagnetic compensation is increasingly important with the development of modern airborne magnetometers. Due to the ill-conditioning of Tolles-Lawson model, some regularization method, instead of ordinary least-squares (OLS), has to be employed to predict the magnetic interference caused by aircraft's motion. This paper aims to provide a candidate method to reduce such interference. The truncated singular value decomposition (TSVD) is used as a main tool to estimate compensation coefficients. In order to select an appropriate regularization parameter for TSVD, an improved parameter-choice method, L-curve criterion with defined origin algorithms (LO) is proposed in this paper to locate the global corner of the discrete L-curve rather than small local ones. Simulation results demonstrate that the proposed combined method (TSVD-LO) can reduce the magnetic interference to a large extent.

Original languageEnglish
Title of host publicationProceedings of the 2013 6th International Congress on Image and Signal Processing, CISP 2013
Pages1545-1551
Number of pages7
DOIs
StatePublished - 2013
Event2013 6th International Congress on Image and Signal Processing, CISP 2013 - Hangzhou, China
Duration: 16 Dec 201318 Dec 2013

Publication series

NameProceedings of the 2013 6th International Congress on Image and Signal Processing, CISP 2013
Volume3

Conference

Conference2013 6th International Congress on Image and Signal Processing, CISP 2013
Country/TerritoryChina
CityHangzhou
Period16/12/1318/12/13

Keywords

  • Aeromagnetic compensation
  • L-curve criterion (LO)
  • Measurements
  • Signal processing
  • Truncated singular value decomposition (TSVD)

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