Application of a Novel Data Mining Method Based on Wavelet Analysis and Chaotic Neural Network on Satellite Clock Bias Prediction

Abstract:

A novel four-stage data mining method for clock bias prediction based on wavelet analysis and chaotic neural networks is proposed. The basic ideas, prediction models and steps of clock bias prediction based on wavelet analysis and chaotic neural network are discussed respectively. And then, to validate the feasibility and validity of the proposed method, make a careful precision analysis for satellite clock bias prediction with the performance parameters of GPS satellite clock, and make comparison and analysis with Grey system model and neural network model. The results of simulation shows that the prediction precision of the novel four-stage model based on wavelet analysis and chaotic neural networks is more better, can afford high precise satellite clock bias prediction for real-time GPS precise point positioning.

• Periodical: Applied Mechanics and Materials (Volumes 513-517)
• Pages: 1144-1149
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.513-517.1144
• Online since: February 2014
• Authors: Yue Hu*, Dao Ping Tang
• Keywords: Chaotic Neural Network, Coasting Window, Data Mining (DM), Satellite Clock Bias, Wavelet Analysis

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