Abstract
In the model-driven tracking approach, the tracking performance is mainly based on the system model. But the accurate model is difficult to obtain, while data-driven tracking approach can’t depend on the accuracy of system model and it can tracking by the measurement data. This paper use BP net to develop a data-driven tracking. The BP net is trained by system measurement and prediction get by Kalman filter and the tracking as the output data. The simulation has shown that the data-driven tracking by BP net can obtain good performance even when the moving target is different.
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Xue-bo, J., Hai-ran, H., Ya-ming, W., Meng-yang, Y. (2011). No-Model Tracking by Data-Driven Method Using BP Networks. In: Zeng, D. (eds) Applied Informatics and Communication. ICAIC 2011. Communications in Computer and Information Science, vol 224. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23214-5_70
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DOI: https://doi.org/10.1007/978-3-642-23214-5_70
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-23213-8
Online ISBN: 978-3-642-23214-5
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