| 内容提要: |
In applications based on radar sensors, target
movement can be analyzed using micro-Doppler spectrogram,
which is a time-frequency representation of micro-Doppler
signature. However, the noise in spectrogram brings difficulties
for applications. Conventional denoising algorithms are not
specific to micro-Doppler data, they could only deal with
a fixed level of noise and fail to effectively denoise under
low Signal-to-Noise Ratio (SNR) circumstances. To overcome
the drawbacks, we propose a method based on Generative
Adversarial Network (GAN) to remove the noise in micro-Doppler
spectrograms. Our method is applicable to a wide range of noise
intensity, for which can be called a blind denoiser. We verify
the effectiveness of the proposed method on both simulated and
measured data, experimental results compared with competing
algorithms demonstrate the superiority of our method. |