Systematic Error Modeling and Bias Estimation
AbstractThis paper analyzes the statistic properties of the systematic error in terms of range and bearing during the transformation process. Furthermore, we rely on a weighted nonlinear least square method to calculate the biases based on the proposed models. The results show the high performance of the proposed approach for error modeling and bias estimation. View Full-Text
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Zhang, F.; Knoll, A. Systematic Error Modeling and Bias Estimation. Sensors 2016, 16, 729.
Zhang F, Knoll A. Systematic Error Modeling and Bias Estimation. Sensors. 2016; 16(5):729.Chicago/Turabian Style
Zhang, Feihu; Knoll, Alois. 2016. "Systematic Error Modeling and Bias Estimation." Sensors 16, no. 5: 729.
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