Ship attitude measurement is one of routine testing project in the field of ship navigation and control, the commonly way to receive information is based on the ship inertial information or the acquisition and analysis of GPS navigator. As inertial navigation would generate cumulative error during operation, so it is necessary to regular calibration during running. In the other hand it is difficult to achieve a more accurate measurement of the posture of the posture by the constraints of the real environment in using traditional GPS attitude measuring device. Therefore, this paper presents a composite measure posture based on the Kalman data fusion algorithm fusion algorithm.
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