TY - GEN
T1 - On the use of least-squares lattice structures for missing data in ISAR imaging
AU - Çopuroǧlu, S.
AU - Gültekin, Ö
AU - Erer, I.
PY - 2009
Y1 - 2009
N2 - In this work, we consider the spectral estimation of the gapped data encountered in inverse synthetic aperture radar (ISAR) imaging. For the estimation of missing data, we propose the use of Least-Square Lattice (LSL) Filters. The proposed method consists of interpolating the rows of two-dimensional backscattered data, where each row corresponds to the backscattered target data from a specific aspect angle. IFFT processing yields the enhanced spectral estimate of interpolated data. To demonstrate the effectiveness of the proposed algorithm, numerical results based on simulated data are presented.
AB - In this work, we consider the spectral estimation of the gapped data encountered in inverse synthetic aperture radar (ISAR) imaging. For the estimation of missing data, we propose the use of Least-Square Lattice (LSL) Filters. The proposed method consists of interpolating the rows of two-dimensional backscattered data, where each row corresponds to the backscattered target data from a specific aspect angle. IFFT processing yields the enhanced spectral estimate of interpolated data. To demonstrate the effectiveness of the proposed algorithm, numerical results based on simulated data are presented.
KW - Component
KW - ISAR imaging
KW - Least-squares lattice structure
KW - Missing data
UR - http://www.scopus.com/inward/record.url?scp=70350393860&partnerID=8YFLogxK
U2 - 10.1109/RAST.2009.5158243
DO - 10.1109/RAST.2009.5158243
M3 - Conference contribution
AN - SCOPUS:70350393860
SN - 9781424436286
T3 - RAST 2009 - Proceedings of 4th International Conference on Recent Advances Space Technologies
SP - 447
EP - 452
BT - RAST 2009 - Proceedings of 4th International Conference on Recent Advances Space Technologies
T2 - 4th International Conference on Recent Advances in Space Technologies 2009, RAST '09
Y2 - 11 June 2009 through 13 June 2009
ER -