Paulo Victor G Sampaio
Research Subjects
Research Interests
Paulo Victor G Sampaio has a total of 6 co-authors. Here are the top co-authors by number of shared publications:
- Leni Joaquim de Matos
Fluminense Federal University, Brazil
1 shared publication - Luiz da Silva Mello
Pontifical Catholic University of Rio de Janeiro, Brazil
1 shared publication - Pedro Armando Vieira1 shared publication
- Pedro Vladimir Gonzalez Castellanos
Telecommunications Engineering Department, Universidade Federal Fluminense, Rio de Janeiro, Brazil
1 shared publication - Rodrigo Amitrano Bilobran1 shared publication
- Rodrigo Pereira David
National Institute of Metrology, Quality and Technology (Inmetro)
1 shared publication
Latest Publications
- Open Access
- 1 January 2025
- Published by Sociedad Brasileira de Telecomunicacoes
Characterization of the 5.8 GHz V2I Radio Channel in an Underground Parking Garage
This study investigates radio signal propagation at 5.8 GHz in an underground parking garage for vehicle-to-infrastructure (V2I) communication, a widespread scenario present in urban centers. Broadband measurements were conducted using orthogonal frequencydivision multiplexing (OFDM), enabling the characterization of the radio channel in terms of path loss (PL) and temporal dispersion. The power delay profile (PDP) was obtained via inverse Fourier transform of the channel impulse response (CIR). Multipath components were identified and compared using the constant false alarm rate (CFAR) and singular spectrum analysis (SSA) techniques. The results showed that the SSA technique is effective for multipath component identification.
- 1 January 2025
- Published by Sociedad Brasileira de Telecomunicacoes
Open AccessCharacterization of the 5.8 GHz V2I Radio Channel in an Underground Parking Garage
This study investigates radio signal propagation at 5.8 GHz in an underground parking garage for vehicle-to-infrastructure (V2I) communication, a widespread scenario present in urban centers. Broadband measurements were conducted using orthogonal frequencydivision multiplexing (OFDM), enabling the characterization of the radio channel in terms of path loss (PL) and temporal dispersion. The power delay profile (PDP) was obtained via inverse Fourier transform of the channel impulse response (CIR). Multipath components were identified and compared using the constant false alarm rate (CFAR) and singular spectrum analysis (SSA) techniques. The results showed that the SSA technique is effective for multipath component identification.