DNCNet: Deep radar signal denoising and recognition

M Du, P Zhong, X Cai, D Bi - … Aerospace and Electronic Systems, 2022 - ieeexplore.ieee.org
… propose an efficient denoising and classification network (DNCNet) for radar signals. The
DNCNet consists of denoising and classification subnetworks. First, a radar signal detection …

A time-frequency image denoising method via neural networks for radar waveform recognition

Z Hu, J Huang, D Hu, Z Wang - IEEE Communications Letters, 2022 - ieeexplore.ieee.org
denoising method to improve the accuracy of radar waveform recognition under low SNR.
The proposed method … transform time-domain signals into denoised spectrums. Then the DFT …

Radar image series denoising of space targets based on Gaussian process regression

X Bai, X Peng - IEEE Transactions on Geoscience and Remote …, 2019 - ieeexplore.ieee.org
… , this paper proposes a novel method for image series denoising based on Gaussian process
… Finally, we obtain the denoised inverse synthetic aperture radar (ISAR) image series by …

MST radar signal processing using wavelet-based denoising

SR Thatiparthi, RR Gudheti… - IEEE Geoscience and …, 2009 - ieeexplore.ieee.org
… (FFT) technique for power spectral estimation and “adaptive estimates technique” for
estimating the moments of radar data has been proposed in [3]. This method considers a certain …

Detrending technique for denoising in CW radar

IS Lee, JH Park, JR Yang - Sensors, 2021 - mdpi.com
technique that can compensate for the effect of DC drift is proposed to improve the phase-detection
accuracy of the circle fitting method in CW radars. The proposed technique models …

Application of denoising CNN for noise suppression and weak signal extraction of lunar penetrating radar data

H Zhou, X Feng, Z Dong, C Liu, W Liang - Remote Sensing, 2021 - mdpi.com
… The denoising CNN model … , the denoising CNN framework is applied to CE-4 LPR data
filtering. The low-frequency clutters used in the CNN training are extracted from CE-3 LPR data

Survey and Fundamental Implementation of Denoising Techniques for Radar Signal Processing

D Chande, A Manale, D Jangale, R Yerram - … for Intelligent Systems, 2024 - Springer
… In conclusion, this survey of denoising techniques for radar signal processing highlights
three key methods: Complex Wavelets (CWT), Multi-Band Wavelet Transform with Improved …

Inpainting Radar Missing Data via Denoising Iterative Restoration

W Zhang, X Zhang, Z Jin, Y Wen… - IEEE Journal of Selected …, 2024 - ieeexplore.ieee.org
… a method for radar dataradar data in various scenarios. We performed experiments in the
central region of the United States using seamlessly blended scanning reflectivity radar data

Denoising complex background radar signals based on wavelet decomposition thresholding

F Qiu, K Yuan - Applied Mathematics and Nonlinear Sciences, 2024 - sciendo.com
… wavelet threshold denoising methods are applied to denoise the … The denoising methods
for radar signals using the properties … threshold denoising methods have wide adaptability. …

Two-stage Denoising of Ground Penetrating Radar Data based on Deep Learning.

M Hu, X Liu, Q Lu, S Liu - IEEE Geoscience and Remote …, 2024 - ieeexplore.ieee.org
… In this letter, we propose a two-stage denoising method for GPR data based on the super-resolution
concept of convolutional neural networks, aiming to suppress noise and enhance …