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Bayesian Fault Detection Method for Linear Systems with Outliers

Tutkimustuotosvertaisarvioitu

Yksityiskohdat

AlkuperäiskieliEnglanti
OtsikkoUbiquitous Positioning, Indoor Navigation and Location-Based Services, UPINLBS, 3-4 October 2012, Helsinki
JulkaisupaikkaPiscataway, NJ
KustantajaIEEE
Sivut1-5
Sivumäärä5
ISBN (elektroninen)978-1-4673-1909-6
ISBN (painettu)978-1-4673-1908-9
DOI - pysyväislinkit
TilaJulkaistu - 2012
OKM-julkaisutyyppiA4 Artikkeli konferenssijulkaisussa

Julkaisusarja

NimiUbiquitous Positioning, Indoor Navigation and Location-Based Services

Tiivistelmä

A novel approach for monitoring the accuracy of the Bayesian estimate of linear Gaussian state-space model is introduced, based on the monitoring of the propagation of the errors in the Kalman filter algorithm. The effect of the sensor errors on the Kalman filter estimate is explicitly computed and compensated for. Marginalized particle filter is used to compute the posterior distribution of the sensor errors and using a target tracking simulation it is shown that the proposed method has improved performance over the standard DIA method

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