Determining the track of a moving object by Kalman and bootstrap method with multisensor data

Because data from multiple sensory sources always includes system errors and random errors, the estimation precision of the track is affected. A method which can reduce those two kinds of errors is presented. The method considers the data from two measuring sources. Kalman filtering theory is used t...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	Tang Xuemei, Liu Bo, Jia Peiran
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Angular velocity Coordinate measuring machines Filtering theory Kalman filters Nonlinear equations Radar measurements Radar tracking Tides
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