基于多分辨率显著性滤波的微动信号增强方法

doi:10.12305/j.issn.1001-506X.2022.04.10

Abstract

Abstract:

Micro-motion signal is a typical non-stationary signal. Time-frequency analysis can obtain the joint time-frequency distribution image of micro-motion signal, and it is one of the main tools for micro-motion signal analysis. Good time-frequency image quality can ensure the accuracy of the subsequent feature extraction and parameter estimation. However, in the actual scene, time-frequency images are usually polluted by noise, which makes it difficult to distinguish micro-motion signals, which seriously restricts the subsequent feature extraction and parameter estimation. According to the basic principles of saliency detection and image pyramid, we compute the saliency on the multi-resolution images separately, and then perform the filtering process. Finally, we perform weighted fusion of them to obtain the enhanced time-frequency image. This method effectively suppresses noise, improves the quality of time-frequency images and the saliency of micro-motion signals under low signal to noise ratio (SNR). Experimental results show that for simulated signals as well as darkroom measured signals, the proposed method can significantly improve the time-frequency image quality when the SNR is from -7 dB to 7 dB, and the accuracy of period estimation can be greatly improved when the SNR is below -3 dB. Therefore, it is an effective method for micro-motion signal enhancement.

Key words: micro-motion, signal enhancement, multi-resolution, saliency

CLC Number:

TN95

Minglei TANG, Wenpeng ZHANG, Weidong JIANG, Xunzhang GAO. Micro-motion signal enhancement method based on multi-resolution saliency filtering[J]. Systems Engineering and Electronics, 2022, 44(4): 1148-1157.

Figures/Tables 22

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Table 1

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算法	运行时间
均值滤波	0.002 8
中值滤波	0.029
高斯滤波	0.029
非局部均值滤波	158.2
本文所提算法	0.24

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Micro-motion signal enhancement method based on multi-resolution saliency filtering

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