论文标题
超宽带雷达和无线人类传感
Ultra-Wideband Radar and Wireless Human Sensing
论文作者
论文摘要
这项研究介绍了我们最近有关人体无线测量的研究的进展。首先，我们在安全检查点上解释了用于筛查乘客的雷达成像算法，该检查点可以比现有算法更快地处理数据，以生成人体的准确和高分辨率图像。其次，我们引入了信号处理技术，以准确测量与人类运动和活动相关的雷达微型多普勒信号。最后，我们提出了用于测量人类呼吸，心跳和其他类型运动的雷达信号处理算法。这些算法可以应用于各个领域，包括医疗保健，安全性，生物识别和人机界面。这些领域有一个共同点：有效利用有关人形，运动和生理学的先验知识，以通过优化雷达系统和信号处理算法来提高性能。
This study presents the progress of our recent research regarding wireless measurements of the human body. First, we explain radar imaging algorithms for screening passengers at security checkpoints that can process data faster than existing algorithms to generate accurate and high-resolution images of human bodies. Second, we introduce signal processing techniques for accurately measuring radar micro-Doppler signals associated with human motions and activities. Finally, we present radar signal processing algorithms for measuring human respiration, heartbeat, and other types of motion. Such algorithms can be applied in various fields including healthcare, security, biometric identification, and man-machine interfaces. These fields have one thing in common: prior knowledge about the human shape, motion, and physiology are effectively exploited to improve performance by optimizing the radar systems and signal processing algorithms.
