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Research on Errors Separation and Characters Analysis of Instrumentation Ship-Measured Data

Author: YangLei
Tutor: WuMengDa
School: National University of Defense Science and Technology
Course: Journal of Systems Science
Keywords: Time series Errors analysis Wavelet Spline Space instrumentation ship
CLC: U674.82
Type: Master's thesis
Year: 2007
Downloads: 101
Quote: 0
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Abstract


An ocean going instrumentation ship is a special ship built for the development of intercontinental guided missile, submarine to shore missile and astronautical technology. The precision of the space instrumentation ship-measured data plays a key role in the TT&C processing. As ships in navigation, the hull shape and posture change, the location of the hull also drift. Therefore, the ship-measured data has more complex error sources. In this paper, Yuan Wang tracking ships is taken as the background to study the errors separation and features analysis of the instrumentation ship-measured data.There are three parts in this paper.Errors separation and modeling method of the instrumentation ship-measured data. Firstly, several spacecraft models are compared and analyzed. The spline function model is determined to be the most suitable. Then, the ship-measured data are fitted by the cubic spline function and the residuals turn out to be non-normal. By adjusting the nodes intervals of the spline function and processing the tracking data piecewise, complex errors are separated. Results show that the complex errors are composed of correction error residuals with secondary low frequency and random error, which means that the complex errors are non-stationary time series.Error separation by frequency characters based on wavelet technique. The influence of the ship swaying data to the ship-measured data is systematically analyzed and the model for the space instrumentation ship-measured data is constructed. Based on wavelet theory and time series modeling, novel methods of the complex errors separation and forecasting are proposed to improve the correction results. The error separation method can separate correction error residuals from complex errors. Compared with the simple time series modeling, the forecasting method proposed is a practicable and effective method for non-stationary errors.Error Analysis of the overall ship calibration combined with flight check data. The method and precision requirement of flight checking are introduced. The availability of the ship calibration data is discussed from the contents and methods of flight checking. System error and random error are separated from the ship calibration error. It can provide reference for the practically measured data to eliminate system error.

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CLC: > Transportation > Waterway transport > Marine Engineering > Various types of vessels > Scientific research with the ship > Tracking ship
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