报告详情
A vital signs denoising algorithm for FMCW radar based on BKA-VMD combined wavelet threshold
编号：18
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更新：2024-10-23 10:40:28
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口头报告
报告开始：2024年11月02日 09:50（Asia/Shanghai）
报告时间：20min
所在会场：[P5] Parallel Session 5 [P5-2] Parallel Session 5（November 2 AM）
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摘要
FMCW radar has excellent ranging and velocity measurement capabilities, combining the velocity resolution of CW radar with the range resolution of UWB radar, and possesses strong anti-interference ability. It does not require contact with any electrodes or sensors when working, offering strong penetration and good privacy. This enables the detection of human vital signs information from a long distance, making it highly valuable for non-contact vital signs detection. But during detection, the chest displacements caused by respiration and the heartbeat is relatively small, besides heartbeat signals can be easily interfered by respiratory harmonics and other noises. A denoising method combining Black-winged Kite Algorithm (BKA) optimized Variational Mode Decomposition (VMD) algorithm and wavelet threshold denoising is introduced for the first time on the issue. Experimental results indicate that when the SNR is 0, the algorithm is compared and analyzed with the EMD joint wavelet thresholding algorithm ，the correlation coefficient improves by 4.36%, the signal-to-noise ratio improves by 5.342dB, and the root-mean-square reduces by 0.7606, which retains more vital signs information while having higher signal-to-noise ratio, and it can be effectively used in the field of vital signs detection.
关键词
BKA, FMCW radar, VMD, Vital signs signal, Wavelet threshold denoising
报告人
XieMin
Ms. Xidian University稿件作者
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重要日期
-
会议日期
10月31日
2024
至11月03日
2024
-
09月30日 2024
初稿截稿日期
-
11月12日 2024
注册截止日期
主办单位
Anhui University
Xi’an Jiaotong University
Harbin Institute of Technology
IEEE Instrumentation & Measurement Society
Xi’an Jiaotong University
Harbin Institute of Technology
IEEE Instrumentation & Measurement Society
联系方式
- Mrs. icsmd
- ic******@163.com
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