Abstract
Most of the underwater target recognition method are built on the spectral analysis. The recognition accuracy isn’t high in the short attack time which leads the torpedo attack on the false target. A method which take the tracking, trajectory and optimum seeking data join have been put forward, which can use the targets’ various information for tracking, trajectory control, optimum seeking, so multiple information can be used for other processes. The method can take full advantage of all key data during the attacking progress which can improve the recognition and attack accuracy. The final attack simulation results verified the high accuracy of the method.
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Yu, L., Cheng, Ym., Chen, Kz., Liu, Jx., Liu, Zg. (2016). An Underwater Target Recognition Method Based on Tracking, Trajectory, and Optimum Seeking Data Joint. In: Omatu, S., et al. Distributed Computing and Artificial Intelligence, 13th International Conference. Advances in Intelligent Systems and Computing, vol 474. Springer, Cham. https://doi.org/10.1007/978-3-319-40162-1_20
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DOI: https://doi.org/10.1007/978-3-319-40162-1_20
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