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No-Model Tracking by Data-Driven Method Using BP Networks

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 224))

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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© 2011 Springer-Verlag Berlin Heidelberg

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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

  • eBook Packages: Computer ScienceComputer Science (R0)

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