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Auto Regressive Moving Average (ARMA) Modeling Method for Gyro Random Noise Using a Robust Kalman Filter
To solve the problem in which the conventional ARMA modeling methods for gyro random noise require a large number of samples and converge slowly, an ARMA modeling method using a robust Kalman filtering is developed. The ARMA model parameters are employed as state arguments. Unknown time-varying esti...
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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MDPI
2015
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4634477/ https://www.ncbi.nlm.nih.gov/pubmed/26437409 http://dx.doi.org/10.3390/s151025277 |