Discussion on Maximum Likelihood-Based Methods for Inertial Sensor Calibration
| Autor: | Roberto Molinari, James Joseph Balamuta, Stéphane Guerrier |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
Mathematical optimization
Inertial frame of reference State-space Computer science Calibration (statistics) Maximum likelihood Generalized Method of Wavelet Moment 010401 analytical chemistry Estimator Time Serie 01 natural sciences 0104 chemical sciences 010309 optics Noise Identification (information) Calibration 0103 physical sciences State space ddc:310 Electrical and Electronic Engineering Instrumentation Algorithm |
| Zdroj: | IEEE Sensors Journal, Vol. 16, No 14 (2016) pp. 5522-5523 |
| ISSN: | 2379-9153 1530-437X |
| DOI: | 10.1109/jsen.2016.2565389 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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