Improving the Error Model for POS Applicationto Airborne InSAR

Abstract:

Position and Orientation System (POS) is a technology widely used for motional error compensation of airborne InSAR. The measurement errors of inertial sensor (accelerometers and gyros) are the chief influencing factors to the precision of POS. In order to enhance the accuracy of POS, an improved SINS error model should be used in POS. In this paper, a more precise error model for SINS is developed by augmenting random walks error, first-order Markov process error, scale factor error and installation error. To validate the accuracy of the improved error model, semi physical flight simulation based on the imitation of imaging-flight route of InSAR is made to compare with the traditional SINS error model which only considering the random constant error. The simulation results show that the accuracy of the improved SINS error model is one order higher than the traditional SINS error model.

• Periodical: Applied Mechanics and Materials (Volumes 239-240)
• Pages: 521-529
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.239-240.521
• Online since: December 2012
• Authors: Lin Zhou Ting Chen, Jian Cheng Fang
• Keywords: Error Model, Kalman Filter (KF), Motion Compensation, Position and Orientation System

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