TY - GEN
T1 - Multi-sensor ISAR technique for translational motion estimation
AU - Bucciarelli, Marta
AU - Pastina, Debora
AU - Errasti-Alcala, Borja
AU - Braca, Paolo
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2015/9/17
Y1 - 2015/9/17
N2 - In the last years a lot of interest has grown concerning the exploitation of data acquired by multiple sensors belonging to multistatic or Multiple Input Multiple Output systems. Indeed increased information and/or better performance can be retrieved using a network of cooperating sensors. In this paper, data acquired by a pair of Inverse Synthetic Aperture Radar sensors is exploited to estimate both radial and cross-radial components of a target's translational motion. The target is observed from different points of view in the long range surveillance operative case. The simulated cost function of the estimation procedure is used to show the feasibility of the proposed technique, confirmed by the analysis of the results of its application against real data acquired by the Radar Sensor Network installed at the NATO Centre for Maritime Research and Experimentation.
AB - In the last years a lot of interest has grown concerning the exploitation of data acquired by multiple sensors belonging to multistatic or Multiple Input Multiple Output systems. Indeed increased information and/or better performance can be retrieved using a network of cooperating sensors. In this paper, data acquired by a pair of Inverse Synthetic Aperture Radar sensors is exploited to estimate both radial and cross-radial components of a target's translational motion. The target is observed from different points of view in the long range surveillance operative case. The simulated cost function of the estimation procedure is used to show the feasibility of the proposed technique, confirmed by the analysis of the results of its application against real data acquired by the Radar Sensor Network installed at the NATO Centre for Maritime Research and Experimentation.
KW - Inverse Synthetic Aperture Radar
KW - motion estimation
KW - multiple sensor systems
UR - https://www.scopus.com/pages/publications/84957689350
U2 - 10.1109/OCEANS-Genova.2015.7271665
DO - 10.1109/OCEANS-Genova.2015.7271665
M3 - Conference contribution
AN - SCOPUS:84957689350
T3 - MTS/IEEE OCEANS 2015 - Genova: Discovering Sustainable Ocean Energy for a New World
BT - MTS/IEEE OCEANS 2015 - Genova
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - MTS/IEEE OCEANS 2015 - Genova
Y2 - 18 May 2015 through 21 May 2015
ER -