A Robust Super-resolution Algorithm in a Low SNR Environment for Vital Sign Radar
We propose a robust super-resolution algorithm for vital sign radar in a low signal to noise ratio (SNR) environment. Conventional approaches, such as fast Fourier transform and super-resolution based algorithms, suffered to provide reliable results due to the limited data length and high noise leve...
Main Authors: | S. Yoon, B. Kim, S. Kim |
---|---|
Format: | Article |
Language: | English |
Published: |
Spolecnost pro radioelektronicke inzenyrstvi
2024-04-01
|
Series: | Radioengineering |
Subjects: | |
Online Access: | https://www.radioeng.cz/fulltexts/2024/24_01_0155_0162.pdf |
Similar Items
-
Low-Complexity Super-Resolution Detection for Range-Vital Doppler Estimation FMCW Radar
by: Bongseok Kim, et al.
Published: (2021-07-01) -
An FMCW Radar for Localization and Vital Signs Measurement for Different Chest Orientations
by: Giulia Sacco, et al.
Published: (2020-06-01) -
Experimental Comparison of IR-UWB Radar and FMCW Radar for Vital Signs
by: Dingyang Wang, et al.
Published: (2020-11-01) -
Super-Resolution Technique of Multi-Radar Fusion 2D Imaging Based on ExCoV Algorithm in Low SNR
by: Dawei Song, et al.
Published: (2023-04-01) -
Non-Contact VITAL Signs Monitoring of a Patient Lying on Surgical Bed Using Beamforming FMCW Radar
by: Sungmook Lim, et al.
Published: (2022-10-01)