| Reference : Statistical Performance Analysis of Radar-Based Vital-Sign Processing Techniques |
| Scientific congresses, symposiums and conference proceedings : Unpublished conference | |||
| Engineering, computing & technology : Electrical & electronics engineering | |||
| http://hdl.handle.net/10993/52941 | |||
| Statistical Performance Analysis of Radar-Based Vital-Sign Processing Techniques | |
| English | |
Tedgue Beltrao, Gabriel  [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SPARC] | |
| Alaeekerahroodi, Mohammad [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SPARC >] | |
| Schroeder, Udo [> >] | |
| Tatarinov, Dimitri [> >] | |
| Mysore Rama Rao, Bhavani Shankar [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SPARC >] | |
| 2022 | |
| 101--112 | |
| Yes | |
| International Conference on Sensing Technology (ICST) | |
| 2022 | |
| [en] Radar-based vital-sign monitoring provides several advantages over standard methodologies. Despite the huge amount of recent work, the preference for particular technique(s) is in debt, due to lack of a formal comparison between them. In addition, collection of real data is a time-consuming process and therefore most of the proposed solutions are only evaluated under very limited scenarios. In this paper we present a simulation framework and a selection of results which allow easy performance comparison between radar-based vital-sign processing techniques. The proposed simulation tool scans over multiple breathing and heartbeat frequencies, and the combined effects along the entire signal processing chain can be analyzed, for different combinations of scenarios and techniques. The results have shown specific limitations for each method, thus indicating a need for proper selection based on operating conditions. In addition, while breathing estimation performance is only limited by noise, heartbeat estimation is limited by the presence of breathing harmonics and, despite promising results at specific breathing/heartbeat frequencies, the presented methods fail to fully mitigate this type of interference in all scenarios. | |
| Fonds National de la Recherche - FnR | |
| http://hdl.handle.net/10993/52941 | |
| Springer International Publishing
978-3-030-98886-9 Cham | |
| FnR ; FNR14269859 > Gabriel Tedgue Beltrão > MIDIA > Mimo Distributed Radar For Indoor Applications > 01/10/2019 > 31/08/2023 > 2019 |
There is no file associated with this reference.
All documents in ORBilu are protected by a user license.
