Discussion on Maximum Likelihood-Based Methods for Inertial Sensor Calibration

Stephane Guerrier, Roberto Molinari, James Balamuta

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

This letter highlights some issues which were overlooked in a recently published paper called maximum likelihood identification of inertial sensor noise model parameters. The latter paper does not consider existing alternative methods, which specifically tackle this issue in a possibly more direct manner and, although remaining a generally valid proposal, does not appear to improve on the earlier proposals. Finally, a simulation study rectifies the poor results of an estimator of reference in the same publication.

Original languageEnglish (US)
Article number7466804
Pages (from-to)5522-5523
Number of pages2
JournalIEEE Sensors Journal
Volume16
Issue number14
DOIs
StatePublished - Jul 15 2016

All Science Journal Classification (ASJC) codes

  • Instrumentation
  • Electrical and Electronic Engineering

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