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肢体运动的时频谱特征与基于微多普勒毫米波雷达的高度估计。

Time-Frequency Spectral Signature of Limb Movements and Height Estimation Using Micro-Doppler Millimeter-Wave Radar.

机构信息

Faculty of Engineering, Ariel University, Ariel 40700, Israel.

出版信息

Sensors (Basel). 2020 Aug 19;20(17):4660. doi: 10.3390/s20174660.

DOI:10.3390/s20174660
PMID:32824937
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7506689/
Abstract

We present a technique for the identification of human and animal movement and height using a low power millimeter-wave radar. The detection was based on the transmission of a continuous wave and heterodyning the received signal reflected from the target to obtain micro-Doppler shifts associated with the target structure and motion. The algorithm enabled the extraction of target signatures from typical gestures and differentiated between humans, animals, and other 'still' objects. Analytical expressions were derived using a pendulum model to characterize the micro-Doppler frequency shifts due to the periodic motion of the human and animal limbs. The algorithm was demonstrated using millimeter-wave radar operating in the W-band. We employed a time-frequency distribution to analyze the detected signal and classify the type of targets.

摘要

我们提出了一种利用低功率毫米波雷达识别人类和动物运动和高度的技术。该检测基于连续波的传输，并将从目标反射的接收信号混频，以获得与目标结构和运动相关的微多普勒频移。该算法能够从典型的手势中提取目标特征，并区分人类、动物和其他“静止”物体。使用摆模型推导出了分析表达式，以表征由于人类和动物肢体的周期性运动而产生的微多普勒频移。该算法使用工作在 W 波段的毫米波雷达进行了演示。我们采用时频分布来分析检测到的信号并对目标类型进行分类。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fd4f/7506689/9adf1198538c/sensors-20-04660-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fd4f/7506689/86db58f1ad7d/sensors-20-04660-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fd4f/7506689/fe8d74d53cd1/sensors-20-04660-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fd4f/7506689/6425cfeac379/sensors-20-04660-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fd4f/7506689/5aeae0f77049/sensors-20-04660-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fd4f/7506689/6d506acc10f2/sensors-20-04660-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fd4f/7506689/7186f73e42ed/sensors-20-04660-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fd4f/7506689/255efd6ac859/sensors-20-04660-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fd4f/7506689/28d449252b42/sensors-20-04660-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fd4f/7506689/4738b05bf0ef/sensors-20-04660-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fd4f/7506689/9adf1198538c/sensors-20-04660-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fd4f/7506689/86db58f1ad7d/sensors-20-04660-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fd4f/7506689/fe8d74d53cd1/sensors-20-04660-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fd4f/7506689/6425cfeac379/sensors-20-04660-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fd4f/7506689/5aeae0f77049/sensors-20-04660-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fd4f/7506689/6d506acc10f2/sensors-20-04660-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fd4f/7506689/7186f73e42ed/sensors-20-04660-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fd4f/7506689/255efd6ac859/sensors-20-04660-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fd4f/7506689/28d449252b42/sensors-20-04660-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fd4f/7506689/4738b05bf0ef/sensors-20-04660-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fd4f/7506689/9adf1198538c/sensors-20-04660-g010.jpg

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