Performance Criteria for the Identification of Inertial Sensor Error Models
| Autor: | Alexandr Motorin, Andrei Motorin, Oleg Stepanov |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Inertial frame of reference
inertial sensor Computer science Carry (arithmetic) Bayesian probability 02 engineering and technology lcsh:Chemical technology 01 natural sciences Biochemistry Article Analytical Chemistry Inertial measurement unit 0202 electrical engineering electronic engineering information engineering lcsh:TP1-1185 Electrical and Electronic Engineering Instrumentation Estimation theory 010401 analytical chemistry Bayesian approach 020206 networking & telecommunications sensor error model Atomic and Molecular Physics and Optics 0104 chemical sciences performance criteria Parameter identification problem Identification (information) filtering algorithm identification Algorithm |
| Zdroj: | Sensors (Basel, Switzerland) Sensors Volume 19 Issue 9 Sensors, Vol 19, Iss 9, p 1997 (2019) |
| ISSN: | 1424-8220 |
| Popis: | This paper considers performance criteria for the identification of sensor error models and the procedure for their calculation. These criteria are used to investigate the efficiency of the identification problem solution, depending on the initial data, and to carry out a comparative analysis of various suboptimal algorithms. The calculation procedure is based on an algorithm that solves the joint problem of hypothesis recognition and parameter estimation within the Bayesian approach. A performance analysis of the models traditionally used to describe errors of inertial sensors is given to illustrate the application of the procedure for the calculation of performance criteria. |
| Databáze: | OpenAIRE |
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