雷达
极高频率
多普勒效应
声学
多普勒雷达
连续波雷达
计算机科学
物理
信号(编程语言)
电信
雷达成像
天文
程序设计语言
作者
Yael Balal,Nezah Balal,Yair Richter,Y. Pinhasi
出处
期刊:Sensors
[MDPI AG]
日期:2020-08-19
卷期号:20 (17): 4660-4660
被引量:10
摘要
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.
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