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Signal Modeling and Processing of IR-UWB Radar-based System for Vital Signal Monitoring
Paulson Eberechukwu Numan,Sunwoo Kim 한국통신학회 2022 한국통신학회 학술대회논문집 Vol.2022 No.2
In this paper, an IR-UWB radar based system for monitoring vital signs is proposed. Specifically, addressing the issue of harmonics between respiration and heart signals from the spectrum of recorded waveforms, using an IR-UWB. A filter to cancel out breathing harmonics is also implemented to improve heart rate detection. Numerical simulations have been performed to demonstrate that an IR-UWB radar can meet the requirements of typical applications such as non-invasive heart and respiration rate monitoring, while resolving issues associated with detected signals.
Jongyeon Kim(김종연),Paulson Eberechukwu,Jaebok Lee(이재복),Sunwoo Kim(김선우) 한국통신학회 2022 한국통신학회 학술대회논문집 Vol.2022 No.2
This paper resents our experimental results on monitoring of human vital signal using Novelda Xe-Thru X4M202 impulse radio ultra-wide band (IR-UWB) radio detection and ranging (RADAR). We have results from simultaneously monitoring of different human vital signs using IR-UWB technology. Therefore, the overall objective of this work is to propose experiment that can effectively detect the breathing rate and heart rate of the human target within the range of IR-UWB RADAR.
Jaebok Lee(이재복),Paulson Eberechukwu N,Sunwoo Kim(김선우) 한국통신학회 2022 한국통신학회 학술대회논문집 Vol.2022 No.2
This paper proposes a positioning algorithm that fuses inertial measurement unit (IMU) pedestrian dead reckoning (PDR) process and ultra-wideband (UWB) sensors using the alternating direction method of multipliers (ADMM) algorithm. The cooperative positioning algorithm uses the UWB measured distance between tags and an inertial sensor. The PDR coordinates are the measured every unit time as an initial value of the ADMM based. We have verified our approach and analyzed the performance of the positioning error in MATLAB.
3D Moving Target Tracking Using TDoA and FDoA Measurements based on SIR Particle Filter
Hongseok Jung(정홍석),Jaebok Lee(이재복),Paulson Eberechukwu,Sunwoo Kim(김선우) 한국통신학회 2022 한국통신학회 학술대회논문집 Vol.2022 No.2
The accuracy of outdoor moving-target tracking systems usually suffers from ranging errors, sensor position, and velocity errors caused by low SNR (signal noise ratio) and non-line-of-sight (NLOS) conditions. In this paper, we propose a new method for moving-Target tracking using joint time-difference-of-arrival (TDoA) and frequency difference-of-arrival (FDoA) measurements. In this work, we introduce particle filter to fuse the interval measurement of TDoA and FDoA for estimating the velocity and position of a moving target. The particle filter plays a key role in the field of moving target detection and estimation, such as unmanned aerial vehicles (UAVs). The estimated interval must contain the actual values of the position and velocity of the moving target. The simulation is expected to improve the accuracy of the positioning performance while minimizing the sensor position and velocity error.