Abstract
According to the movement tendency of maneuvering target, Smooth Acceleration model was brought up in order to ensure the precision and smoothness of the tracking motion. Based on Kalman filter, a filtering algorithm with the concept of movement tendency was fit for Smooth Acceleration model. And the parameters in Smooth Acceleration model were analyzed for the influence of filtering process. At last, Smooth Acceleration model and its filtering algorithm was applied to ship-swaying attitude tracking. It demonstrated by the experiment results that the model could achieve a high precision of position control and the running smoothness could be improved obviously.
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Wang, P., Xue, K., Ma, L. (2011). Smooth Acceleration Model for Maneuvering Target Tracking. In: Wu, Y. (eds) Advances in Computer, Communication, Control and Automation. Lecture Notes in Electrical Engineering, vol 121. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25541-0_61
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DOI: https://doi.org/10.1007/978-3-642-25541-0_61
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-25540-3
Online ISBN: 978-3-642-25541-0
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