Effective Reconstruction of the Rotation-Induced Micro-Doppler from a Noise-Corrupted Signature

This paper presents an effective method for reconstructing the rotation-induced micro-Doppler (m-D) from a signature corrupted by noise. An adaptive low-pass filter is employed as a preprocessor of empirical mode decomposition (EMD) in order to effectively extract the first chopping harmonic component of the rotation-induced m-D. Then the extracted component is used for reconstructing the original m-D signature in the joint time-frequency domain. Although it is difficult to interpret the time-frequency representation of the noise-corrupted signature, the reconstruction of the m-D enables the acquisition of related information and can be used for complementing other traditional analysis methods. By validating the applicability of the proposed method with measured jet engine modulation (JEM) signatures, we demonstrate that the reconstruction process presented in this paper is expected to be significantly helpful for radar target recongnition in real environments.