What is it about?
As Satellite Clock Bias (SCB) prediction may be affected by various factors such as periodic items, sampling length, and stochastic items, a fusion-based prediction method is proposed by considering characteristics of SCB and fitted residue.
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Why is it important?
Experimental results show that, compared with single prediction models and existing combination models, the proposed fusion-based prediction method improves accuracy and stability. In particular, the proposed method is more stable and has better performance for mid- and long-term prediction.
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This page is a summary of: Fusion-based Satellite Clock Bias Prediction Considering Characteristics and Fitted Residue, Journal of Navigation, February 2018, Cambridge University Press,
DOI: 10.1017/s0373463317001035.
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