Compensation for High-Frequency Vibration of SAR Imaging in the Terahertz Band Based on Linear Chirplet Transform and Empirical Mode Decomposition

Chen, Siyu; Wang, Yong; Zhang, Yun

doi:10.1109/jstars.2023.3236159

Cited by 7 publications

(3 citation statements)

References 30 publications

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“…Our findings are consistent with previous studies [15,16] that have shown that the combination of EMD and wavelet threshold denoising methods can effectively remove noise from signals. However, our proposed method achieved better filtering performance, which may be attributed to the use of the EMD method for signal decomposition and the optimized parameter settings.…”

Section: Comparison Of Different Filtering Methodssupporting

confidence: 93%

“…During the simulation, it was found that using EMD to extract only the signal IMF would cause peak reduction and offset, resulting in significant deviations from the original signal. To address this issue, it was necessary to extract the effective parts from other IMF signals and superimpose them with the [16] 0.0063 0.9972 signal-only IMF. On the other hand, the wavelet threshold denoising method required the selection of the optimal wavelet basis, decomposition level, and thresholding rule, which was time-consuming.…”

Section: Comparison Of Different Filtering Methodsmentioning

confidence: 99%

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Laser self-mixing interference displacement signal filtering method based on empirical mode decomposition and wavelet threshold

Guo,

Wang

2024

Meas. Sci. Technol.

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Objective:In laser self-mixing interferometry displacement measurement, noise interference has a significant impact on the measurement results. To improve measurement accuracy, this paper proposes a filtering method that combines empirical mode decomposition (EMD) with wavelet thresholding.Method:First, the signal is decomposed into several intrinsic mode functions (IMFs) using EMD. Then, wavelet thresholding is applied to each IMF. Subsequently, the processed IMFs are reconstructed to achieve signal filtering. Finally, by integrating the principles of interpolation and fringe counting, the reconstructed displacement signal is recovered, realizing accurate displacement measurement.Result:This paper presents comprehensive simulation analyses and experimental validations for the proposed method. The accuracy of the displacement recovery is quantitatively evaluated using the absolute error and standard error, comparing the recovered displacement signal with the actual displacement.Conclusion:The experimental results demonstrate that the laser self-mixing interferometry displacement signal filtering method based on EMD and wavelet thresholding has high accuracy.

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Section: Comparison Of Different Filtering Methodssupporting

confidence: 93%

Section: Comparison Of Different Filtering Methodsmentioning

confidence: 99%

Laser self-mixing interference displacement signal filtering method based on empirical mode decomposition and wavelet threshold

Guo,

Wang

2024

Meas. Sci. Technol.

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“…Moreover, many studies have focused on parameter estimation for vibration. Recently, various algorithms have been proposed for parameter estimation and compensation of high-frequency vibrations [22]- [26]. The aforementioned studies mainly focused on refocusing and parameter estimation for oscillation of ships and highfrequency vibrations of SAR platforms.…”

Section: Introductionmentioning

confidence: 99%

High-Resolution SAR Imaging Characteristics for Multiple Scattering of Rotating Targets

Wang,

Qiu,

Wen

2024

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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The rotation of targets in high-resolution synthetic aperture radar (SAR) images results in complex and nonlinear micro-Doppler modulation of SAR returns, exhibiting distinct and diverse imaging characteristics under different conditions. This poses challenges to image interpretation, target detection and recognition. This study establishes signal models for single and multiple scattering of rotating targets in high-resolution spaceborne SAR and, in conjunction with the processing procedures of range doppler algorithm (RDA), derives the azimuth bandwidth and the conditions for azimuth frequency aliasing caused by rotation. Quantitative analysis of the errors introduced by target rotation in various signal domains is performed, takeing into account the stationary phase point offset, the rotationinduced range migration correction error (RMCE), and the change of azimuth phase in detail. Additionally, representative signatures of these influences in SAR images are simulated and interpreted and more accurate theoretical models of imaging results are derived. The processing and analysis of both simulation and real measured data validate the correctness of the theoretical derivation in this study and provide support for the interpretation and information extraction of high-resolution SAR rotating targets.

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Parametric Instantaneous Frequency Estimation via PWSR With Adaptive QFM Dictionary

Yang

Cheng

Hao

et al. 2023

IEEE Signal Process. Lett.

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Compensation for High-Frequency Vibration of SAR Imaging in the Terahertz Band Based on Linear Chirplet Transform and Empirical Mode Decomposition

Cited by 7 publications

References 30 publications

Laser self-mixing interference displacement signal filtering method based on empirical mode decomposition and wavelet threshold

Laser self-mixing interference displacement signal filtering method based on empirical mode decomposition and wavelet threshold

High-Resolution SAR Imaging Characteristics for Multiple Scattering of Rotating Targets

Parametric Instantaneous Frequency Estimation via PWSR With Adaptive QFM Dictionary

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