DocumentCode :
3727605
Title :
The wavelet domain hidden markov model analysis of ship attitude based on dual star sensors
Author :
Jingming Guo; Bin Liu; Xin He; Tongshuang Zhang; Liang Pan; Hongwei Jiao
Author_Institution :
China Satellite Maritime Tracking and Controlling Department, Jiangyin, China
fYear :
2015
Firstpage :
1023
Lastpage :
1027
Abstract :
With the development of large field-of-view and high precision star sensor technology, ship attitude can be measured using star sensor, and then the measurement accuracy of measuring equipments in the Spacecraft Tracking, Telemetry and Command (TT&C) ship can be improved greatly. According to the non-Gaussian and nonlinear characteristics of the ship attitude data, a filtering algorithm based on wavelet domain Hidden Markov Model(HMM) model is proposed in this paper. The algorithm establishes models between the wavelet coefficients of ship data using HMM model, which parameters are estimated using expectation maximization method. Experiments show that the model proposed has a smallest variance comparing with the maximum likelihood method and time series method, and also has the best consistency with the estimation of random error.
Keywords :
"Marine vehicles","Hidden Markov models","Sensors","Sea measurements","Wavelet domain","Data models","Discrete wavelet transforms"
Publisher :
ieee
Conference_Titel :
Natural Computation (ICNC), 2015 11th International Conference on
Electronic_ISBN :
2157-9563
Type :
conf
DOI :
10.1109/ICNC.2015.7378132
Filename :
7378132
Link To Document :
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