Radar Based Human Vital Sign Detection In Cars

A System Analysis

Bachelor Thesis (2020)
Author(s)

S. Neji (TU Delft - Electrical Engineering, Mathematics and Computer Science)

R.P.C. Kooij (TU Delft - Electrical Engineering, Mathematics and Computer Science)

Contributor(s)

F. Fioranelli – Mentor (TU Delft - Microwave Sensing, Signals & Systems)

Marco Spirito Alexander Yarovyi – Graduation committee member (TU Delft - Microwave Sensing, Signals & Systems)

C. Varon – Graduation committee member (TU Delft - Signal Processing Systems)

Faculty
Electrical Engineering, Mathematics and Computer Science
Copyright
© 2020 Saliha Neji, Roeland Kooij
More Info
expand_more
Publication Year
2020
Language
English
Copyright
© 2020 Saliha Neji, Roeland Kooij
Graduation Date
30-06-2020
Awarding Institution
Delft University of Technology
Project
EE3L11 Bachelor graduation project Electrical Engineering
Programme
Electrical Engineering
Faculty
Electrical Engineering, Mathematics and Computer Science
Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Abstract

This thesis analyses different radar systems for sensing chest movement to detect human presence inside a car. The detection in this thesis is limited to sensing breathing rate, although heartbeat detection is considered a possibility. A comparison is made between CW-, FMCW-, pulsed- and UWB pulsed radar. UWB pulsed radar was chosen to be a suitable technology for this application. As a benchmark, the Xethru X4 SoC by Novelda is used. The parameters and the working of Xethru X4 are investigated. A suitable antenna for Xethru is designed and simulated. Different detection techniques are discussed. The feasibility of the Xethru X4 is tested by means of calculations in different settings. Based on these tests, the Xethru X4 is evaluated and concluded to be suitable for detecting human presence inside a car by means of vital sign detection.

Files

Thesis_final_rep.pdf
(pdf | 1.44 Mb)
License info not available