Enhanced Cohen class time–frequency methods based on a structure tensor analysis: Applications to ISAR processing

Corretja, Vincent; Grivel, Éric; Berthoumieu, Yannick; Quellec, Jean-Michel; Sfez, Thierry; Kemkemian, Stephane

doi:10.1016/j.sigpro.2012.12.016

Cited by 9 publications

(4 citation statements)

References 47 publications

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“…However, when the Doppler spectrum is time-varying due to target's motion, ISAR image based on Fourier Transform becomes unclear and smeared. However, the joint Time-Frequency Transform can be used to enhance the ISAR images of moving targets [3,4,6].…”

Section: Time-frequency Representation-based Isar Formationmentioning

confidence: 99%

“…Figure 2 shows the radar imaging system based on the TFR [6]. [3,4,6], S-Transform [5,7] or Harmonic Wavelet [30].…”

Section: Isar Imaging Based On Tfrmentioning

confidence: 99%

“…However, because of the target maneuvering, the Doppler spectrum becomes time-varying and the image is blurred. Instead of the Fourier Transform, TFR techniques can be adopted to improve the resolution of ISAR images [3][4][5]. In recent years, a great deal of interest has been paid to transformations or processing that map the signal into its TFR [5][6][7].…”

Section: Introductionmentioning

confidence: 99%

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ISAR image formation with a combined empirical mode decomposition and time frequency representation

Ahmed¹,

Cexus²,

Toumi³

2015

2015 23rd European Signal Processing Conference (EUSIPCO)

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In this paper, a method for Inverse Synthetic Aperture Radar (ISAR) image formation based on the use of the Complex Empirical Mode Decomposition (CEMD) is proposed. The CEMD [1] which based on the Empirical Mode Decomposition (EMD) is used in conjunction with a Time-Frequency Representation (TFR) to estimate a 3-D time-range-Doppler Cubic image, which we can use to effectively extract a sequence of ISAR 2-D range-Doppler images. The potential of the proposed method to construct ISAR image is illustrated by simulations results performed on synthetic data and compared to 2-D Fourier Transform and TFR methods. The simulation results indicate that this method can provide ISAR images with a good resolution. These results demonstrate the potential application of the proposed method for ISAR image formation.

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Section: Time-frequency Representation-based Isar Formationmentioning

confidence: 99%

“…Figure 2 shows the radar imaging system based on the TFR [6]. [3,4,6], S-Transform [5,7] or Harmonic Wavelet [30].…”

Section: Isar Imaging Based On Tfrmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

ISAR image formation with a combined empirical mode decomposition and time frequency representation

Ahmed¹,

Cexus²,

Toumi³

2015

2015 23rd European Signal Processing Conference (EUSIPCO)

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show abstract

“…To deal with these temporal evolutions, a Time-Frequency analysis must be considered [1]- [3]. In recent years, a great deal of interest has been paid to transformations or processing that map the signal into its TFD [4]- [6].…”

Section: Introductionmentioning

confidence: 99%

Quantitative measures in ISAR image formation based on time-frequency representations

Cexus

Toumi

Couderc

2017

2017 International Conference on Advanced Technologies for Signal and Image Processing (ATSIP)

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Synchrosqueezing Fractional S-transform: Theory, Implementation and Applications

Wei,

Shen

2023

Circuits Syst Signal Process

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Enhanced Cohen class time–frequency methods based on a structure tensor analysis: Applications to ISAR processing

Cited by 9 publications

References 47 publications

ISAR image formation with a combined empirical mode decomposition and time frequency representation

ISAR image formation with a combined empirical mode decomposition and time frequency representation

Quantitative measures in ISAR image formation based on time-frequency representations

Synchrosqueezing Fractional S-transform: Theory, Implementation and Applications

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