Compressed Sensing ISAR Reconstruction Considering Highly Maneuvering Motion
AbstractIn this report, we propose compressed sensing inverse synthetic aperture radar (ISAR) imaging in the presence of highly maneuvering motion using a modified orthogonal matching pursuit (OMP) reconstruction algorithm. Unlike existing methods where motion is limited to first- or second-order phase terms, we take into account realistic motion of a maneuvering target that can involve a third-order phase term corresponding to the rate of rotational acceleration. In addition, unlike existing fixed dictionary-based methods, which require designing a large dictionary that needs to take into account all of the possible motion parameters, we propose a modified OMP reconstruction method that requires a dictionary only based on the first-order phase term and estimates the secondand third-order phase terms using an optimization algorithm. Simulation examples and comparison with existing methods show the viability of our approach for imaging moving targets consisting of higher order motion. View Full-Text
Scifeed alert for new publicationsNever miss any articles matching your research from any publisher
- Get alerts for new papers matching your research
- Find out the new papers from selected authors
- Updated daily for 49'000+ journals and 6000+ publishers
- Define your Scifeed now
Khwaja, A.S.; Cetin, M. Compressed Sensing ISAR Reconstruction Considering Highly Maneuvering Motion. Electronics 2017, 6, 21.
Khwaja AS, Cetin M. Compressed Sensing ISAR Reconstruction Considering Highly Maneuvering Motion. Electronics. 2017; 6(1):21.Chicago/Turabian Style
Khwaja, Ahmed S.; Cetin, Mujdat. 2017. "Compressed Sensing ISAR Reconstruction Considering Highly Maneuvering Motion." Electronics 6, no. 1: 21.