Abstract
This paper proposes a method for carrier battle group recognition with over-the-horizon radar outputs. A newly developed belief-rule-based inference method is employed to deal with uncertainties in both radar outputs and domain knowledge. The recognition belief-rule base is constructed considering the constraints among sub-targets in the carrier battle group and subsequently the inference according to such hierarchical belief-rule base is implemented. Moreover, the parameters training method is designed to update the belief-rule base through accumulated historical data. The simulation results show that the belief-rule-based inference method is effective to address the uncertainties in carrier battle group recognition, and the method performs much better after parameters training.
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Acknowledgments
This work was partially supported by the China National Science Foundation (No.61135001 and No.61075029) and the Doctorate Foundation of Northwestern Polytechnical University (No.CX201319).
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© 2013 Springer-Verlag Berlin Heidelberg
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Jiao, L., Pan, Q., Feng, X., Yang, F. (2013). A Belief-Rule-Based Inference Method for Carrier Battle Group Recognition. In: Sun, Z., Deng, Z. (eds) Proceedings of 2013 Chinese Intelligent Automation Conference. Lecture Notes in Electrical Engineering, vol 254. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38524-7_28
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DOI: https://doi.org/10.1007/978-3-642-38524-7_28
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