Radar Micro-Doppler Signature Analysis with HHT

Cai, Chengjie; Liu, Weixian; Fu, Jianqin; Lu, Yilong

doi:10.1109/taes.2010.5461668

Cited by 41 publications

(20 citation statements)

References 12 publications

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“…Due to the preprocessing filtering, the first chopping harmonic component is automatically assigned to the EMD filter of number 1, and IMF 1 can have the center frequency in accordance with the cutoff frequency. This means that the IMF containing the microDoppler component is directly determined as IMF 1 without spectrum comparison between the original signature and IMFs [17,31]. Since the EMD filter of number 1 operates as a high-pass filter, EMD combined with the LPF equivalently behaves like a band-pass filter with the center frequency same as the fundamental chopping frequency as shown in Fig.…”

Section: Proposed Methods For Reconstructing Rotation-induced Micro-domentioning

confidence: 99%

Section: Proposed Methods For Reconstructing Rotation-induced Micro-domentioning

confidence: 99%

“…Note that the lengths of smoothing functions should be much shorter than one cycle of the modulation frequency to produce an accurate instantaneous Doppler frequency [17,32]. The resolution of the SPWVD may be restricted to visualizing the weakly-modulated micro-Doppler [17]. However, since the propeller blade length is generally larger than the radar wavelength λ, the SPWVD is sufficient for representing the rotationinduced micro-Doppler [3].…”

Section: Proposed Methods For Reconstructing Rotation-induced Micro-domentioning

confidence: 99%

“…In recent years, timefrequency analysis techniques have been employed to complement these single-domain methods. Previous studies demonstrated that timefrequency analysis techniques clearly represented the time-dependent characteristics of a variety of micro-Doppler phenomena [17][18][19][20][21][22][23][24]. In particular, they could give physical insight into the periodic characteristic of rotation-induced micro-Doppler in the joint timefrequency domain [20][21][22][23][24].…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

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

Park¹,

Myung²

2013

PIER

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Abstract-This paper presents an effective method for reconstructing the rotation-induced micro-Doppler from a signature corrupted by noise. Based on empirical mode decomposition (EMD), a low-pass filter is employed as its preprocessor in order to effectively extract the first chopping harmonic component of the rotation-induced microDoppler. Then the extracted component is used for reconstructing the original micro-Doppler 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 microDoppler 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.

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Section: Proposed Methods For Reconstructing Rotation-induced Micro-domentioning

confidence: 99%

Section: Proposed Methods For Reconstructing Rotation-induced Micro-domentioning

confidence: 99%

Section: Proposed Methods For Reconstructing Rotation-induced Micro-domentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

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

Park¹,

Myung²

2013

PIER

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show abstract

“…Since the HHT was first proposed, it has been used in various fields that deal with nonstationary signals because of its high-resolution characteristic [9][10][11][12][13][14]. According to the works related to the JTFA using the HHT, the obtained instantaneous Doppler frequency indicated accurate timedependent characteristics of the Doppler signatures.…”

Section: Introductionmentioning

confidence: 99%

Modified Hilbert-Huang Transform and Its Application to Measured Micro Doppler Signatures From Realistic Jet Engine Models

Park¹,

Lim²,

Myung³

2012

PIER

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Abstract-Joint time-frequency analysis (JTFA) is applied to micro Doppler signatures generated by jet engine modulation (JEM) effect using a modified Hilbert-Huang transform (HHT). The modified HHT is developed to improve the JTFA results of measured JEM signals. Wavelet decomposition (WD) with Meyer wavelet function is considered as a supplementary process of the HHT. The modified HHT examines a signature obtained from simulation of a jet engine CAD model, and is then applied to the signatures obtained from measurement of two realistic jet engine models. The modified HHT gives more improved JTFA results of the measured JEM signals than those from the simple short-time Fourier transform -(STFT) based analysis. The modified HHT-based JTFA approach is expected to be significantly useful for enabling high-quality radar target recognition in a real environment by complementing other traditional analyses.

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Precession-Identification Based on Sparse Representation

You

Wang

2013

Lecture Notes in Electrical Engineering

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Radar Micro-Doppler Signature Analysis with HHT

Cited by 41 publications

References 12 publications

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

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

Modified Hilbert-Huang Transform and Its Application to Measured Micro Doppler Signatures From Realistic Jet Engine Models

Precession-Identification Based on Sparse Representation

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