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2018-05-04
Research on Analysis of Aircraft Echo Characteristics and Classification of Targets in Low-Resolution Radars Based on EEMD
By
Qiusheng Li,

    Professor Qiusheng Li

    School of Physics and Electronic Information

    Gannan Normal University

    China

    Homepage

Huaxia Zhang,

    Dr. Huaxia Zhang

    School of Physics and Electronic Information

    Gannan Normal University

    China

    Homepage

Qing Lu,

    Dr. Qing Lu

    School of Physics and Electronic Information

    Gannan Normal University

    China

    Homepage

Lehui Wei

    Dr. Lehui Wei

    School of Physics and Electronic Information

    Gannan Normal University

    China

    Homepage

Progress In Electromagnetics Research M, Vol. 68, 61-68, 2018
doi:10.2528/PIERM18030904 | Google Scholar

Abstract
As a kind of complex targets, the non-rigid vibration of an aircraft as well as its attitude change and the rotation of its rotating parts will induce complex nonlinear modulation on its echo from low-resolution radars. If these nonlinear modulation features which reflect the physical characteristics of an aircraft target can be extracted effectively, then they are helpful to target classification and recognition. However, the echo translational component and background clutter have a very adverse effect on the extraction of such features. On basis of introducing the ensemble empirical mode decomposition (EEMD) algorithm, the paper firstly performs the decomposition of real recorded aircraft echo data from a low-resolution radar by EEMD and distinguishes the false component, body translational component and micro-motion component by calculating waveform entropy in the Doppler domain. Secondly, it carries out characteristic analysis and feature extraction further on the echo micro-motion component separated and extracts three features of the micro-motion component, including Doppler domain waveform entropy Emc, normalized equivalent Doppler spectrum width BW0, and normalized frequency interval between the adjacent maximum spectral peaks on both sides of the spectrum center Δf0. The analysis results show that EEMD can be used to separate the body translational component and micromotion component of an aircraft echo effectively, and the proposed features (Emc, BW0 and Δf0) can be used as effective features for aircraft target classification and recognition.
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Citation
Qiusheng Li, Huaxia Zhang, Qing Lu, and Lehui Wei, "Research on Analysis of Aircraft Echo Characteristics and Classification of Targets in Low-Resolution Radars Based on EEMD," Progress In Electromagnetics Research M, Vol. 68, 61-68, 2018.
doi:10.2528/PIERM18030904
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