TY - GEN
T1 - Multistatic Radar Imaging for Traffic Monitoring
AU - Dogan, Ozan
N1 - Accepted author manuscript
PY - 2020
Y1 - 2020
N2 - This work presents a novel radar system for vehicle imaging. The proposed system is based on estimation of target parameters like range and velocity and generation of the final radar image. For this purpose, a multistatic Frequency Modulated Continuous Wave (FMCW) Synthetic Aperture Radar (SAR) system is implemented. Both the simulation and on site measurements show that such a radar system has the potential to replace the current very expensive sensors.
AB - This work presents a novel radar system for vehicle imaging. The proposed system is based on estimation of target parameters like range and velocity and generation of the final radar image. For this purpose, a multistatic Frequency Modulated Continuous Wave (FMCW) Synthetic Aperture Radar (SAR) system is implemented. Both the simulation and on site measurements show that such a radar system has the potential to replace the current very expensive sensors.
UR - http://www.scopus.com/inward/record.url?scp=85096351100&partnerID=8YFLogxK
U2 - 10.1109/IEMTRONICS51293.2020.9216417
DO - 10.1109/IEMTRONICS51293.2020.9216417
M3 - Conference contribution
SN - 978-1-7281-9616-9
T3 - IEMTRONICS 2020 - International IOT, Electronics and Mechatronics Conference, Proceedings
SP - 1
EP - 5
BT - IEMTRONICS 2020 - International IOT, Electronics and Mechatronics Conference, Proceedings
A2 - Chakrabarti, Satyajit
A2 - Paul, Rajashree
A2 - Gill, Bob
A2 - Gangopadhyay, Malay
A2 - Poddar, Sanghamitra
PB - IEEE
T2 - 2020 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS)
Y2 - 9 September 2020 through 12 September 2020
ER -