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2020-12-17
Aircraft Target Classification Method Based on EEMD and Multifractal
By
Junyong Hu,

    Dr. Junyong Hu

    Research Center of Intelligent Control Engineering Technology

    Gannan Normal University

    China

    Homepage

Qiusheng Li,

    Professor Qiusheng Li

    School of Physics and Electronic Information

    Gannan Normal University

    China

    Homepage

Qianli Zhang,

    Dr. Qianli Zhang

    Gannan Normal University

    China

    Homepage

Yingjie Zhong

    Dr. Yingjie Zhong

    Gannan Normal University

    China

    Homepage

Progress In Electromagnetics Research M, Vol. 99, 223-231, 2021
doi:10.2528/PIERM20101802 | Google Scholar

Abstract
Due to the limitation of low-resolution radar system and the influence of background clutter in the detection process, it is hard for low-resolution radars to classify and identify aircraft targets. To solve the above problems, a classification method for aircraft based on Ensemble Empirical Mode Decomposition (EEMD) and multifractal is proposed, in which the intrinsic modes are obtained by EEMD, and the waveform entropy in the Doppler domain is used to screen and reconstruct the intrinsic modes. The multifractal feature of the target echo data is extracted from the reconstructed signal, and then the aircraft target classification and recognition experiment is carried out with support vector machine. The experimental results show that the feature data extracted by ensemble empirical mode decomposition and multifractal analysis can be used for the classification and identification of civil aircraft and fighter aircraft, and the accuracy rate is about 98.5%, which is higher than that of time-domain multifractal method.
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Citation
Junyong Hu, Qiusheng Li, Qianli Zhang, and Yingjie Zhong, "Aircraft Target Classification Method Based on EEMD and Multifractal," Progress In Electromagnetics Research M, Vol. 99, 223-231, 2021.
doi:10.2528/PIERM20101802
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