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

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).