TY - GEN
T1 - GNSS-based multistatic passive radar imaging of ship targets
AU - Santi, Fabrizio
AU - Pastina, Debora
AU - Antoniou, Michail
AU - Cherniakov, Mikhail
PY - 2020/4
Y1 - 2020/4
N2 - This work brings forward a framework for passive radar imaging of ship targets by exploiting the reflections of navigation satellite signals. The specific objective is taking advantage of the inherent multistatic nature of the system for the ship passive imagery. To this aim, a bistatic image formation stage is first defined. Then, the bistatic images obtained over multiple baselines are mapped in a domain independent on the particular satellite viewing angle. Finally, different combination rules of the multiple images are defined in order to enable multistatic imagery with enhanced quality, potentially enabling finer feature extraction procedures for ship classification. The proposed approaches are validated and compared via an experimental campaign comprising multiple Galileo satellites and a commercial ferry undergoing different types of motion.
AB - This work brings forward a framework for passive radar imaging of ship targets by exploiting the reflections of navigation satellite signals. The specific objective is taking advantage of the inherent multistatic nature of the system for the ship passive imagery. To this aim, a bistatic image formation stage is first defined. Then, the bistatic images obtained over multiple baselines are mapped in a domain independent on the particular satellite viewing angle. Finally, different combination rules of the multiple images are defined in order to enable multistatic imagery with enhanced quality, potentially enabling finer feature extraction procedures for ship classification. The proposed approaches are validated and compared via an experimental campaign comprising multiple Galileo satellites and a commercial ferry undergoing different types of motion.
KW - GNSS-based passive radar
KW - Maritime surveillance
KW - Multistatic passive radar
KW - Passive radar imaging
UR - http://www.scopus.com/inward/record.url?scp=85090329240&partnerID=8YFLogxK
U2 - 10.1109/RADAR42522.2020.9114638
DO - 10.1109/RADAR42522.2020.9114638
M3 - Conference contribution
AN - SCOPUS:85090329240
T3 - 2020 IEEE International Radar Conference, RADAR 2020
SP - 601
EP - 606
BT - 2020 IEEE International Radar Conference, RADAR 2020
PB - Institute of Electrical and Electronics Engineers (IEEE)
T2 - 2020 IEEE International Radar Conference, RADAR 2020
Y2 - 28 April 2020 through 30 April 2020
ER -