| Full text | |
| Author(s): |
Perotoni, Marcelo B.
;
Ferreira, Lincoln
;
Santos, Kenedy Marconi
;
Ribeiro, Lucas dos S.
;
Almeida, Danilo Brito
Total Authors: 5
|
| Document type: | Journal article |
| Source: | 2023 SBMO/IEEE MTT-S INTERNATIONAL MICROWAVE AND OPTOELECTRONICS CONFERENCE, IMOC; v. N/A, p. 3-pg., 2023-01-01. |
| Abstract | |
A 5 to 11 GHz ultra-wideband radar is presented to visualize human presence behind walls, following indoor measurements. The raw backscattered data is analyzed using two different techniques to identify human movement, one based in subtraction and other using Moving Target Indicator filtering. The radar was found to be sensitive enough to detect human movements behind a wall, in three different indoor scenarios. Signal to noise ratio analyzes are implemented to evaluate the generated image after the processing. (AU) | |
| FAPESP's process: | 19/12268-4 - Traffic flow analysis and vehicle classification for ITS using UWB radar |
| Grantee: | Gustavo Yamasaki Martins Vieira |
| Support Opportunities: | Research Grants - Innovative Research in Small Business - PIPE |
| FAPESP's process: | 20/09838-0 - BI0S - Brazilian Institute of Data Science |
| Grantee: | João Marcos Travassos Romano |
| Support Opportunities: | Research Grants - Research Centers in Engineering Program |