Ultra-Wide band Radar System Assembly across the Obstacle for Human Vital Signs Detection

Mudit Kumar Verma, Munna Khan
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Abstract

With the ongoing advancements in automated types of machinery, Robotics and kind of artificial intelligence specifically, are continuously replacing human interventions and generally, manual operations for the most part are declining day by day, which is quite significant. Collaborations of humans with machines particularly is increasing at a rapid pace making several technologies efficient and better responsive. Out of these technologies prevailing for object detection and localization, one of the precise and future-ready technology is the use of RADAR Systems. Among various types of RADAR technology, Ultra-Wideband (UWB) radar generally has some superior capabilities such as presence detection with good actual precision, and high performance in a subtle way. Contrary to the conventional systems, UWB radar Technology mostly uses a Wide Frequency range of several MHz and GHz ranges.This project is based on UWB Radar which recognizes the movements of the person, which is quite significant. This can be used for the most part to identify the signals of a person in a contactless manner, basically contrary to popular belief. In this project, main focused area onto which our concern exists is detection and localization of immovable human targets behind the confined spaces like a wall based on their minor movements caused by breathing, which mostly is quite significant. In the detection of breathing movement, a method based on Doppler effect is used. Additionally, the various measurements being taken are subjected to a CRT (Clutter-Reduction technique) based on Singular Value Decomposition and a more recent approach, which is based on Discrete Time Fourier Transform(DTFT).
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超宽带雷达系统跨障碍检测人体生命体征
随着自动化机械的不断进步,机器人技术和人工智能正在不断取代人工干预,总的来说,人工操作在很大程度上正在日益减少,这是非常重要的。特别是人类与机器的合作正在迅速增加,使一些技术效率更高,反应更快。在这些用于目标检测和定位的技术中,精确和面向未来的技术之一是雷达系统的使用。在各种类型的雷达技术中,超宽带(UWB)雷达通常具有一些优势,如实际精度好的存在检测能力,以及微妙的高性能。与传统系统相反,超宽带雷达技术主要使用几个MHz和GHz范围的宽频率范围。这个项目是基于超宽带雷达,它可以识别人的运动,这是非常重要的。这在很大程度上可以用非接触式的方式来识别一个人的信号,这基本上与人们的普遍看法相反。在这个项目中,我们关注的主要领域是通过呼吸引起的微小运动来检测和定位墙等密闭空间后面的不可移动的人体目标,这是非常重要的。在呼吸运动的检测中,采用了基于多普勒效应的方法。此外,所采取的各种测量都受到基于奇异值分解的CRT(杂波减少技术)和基于离散时间傅里叶变换(DTFT)的最新方法的影响。
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