TY - GEN
T1 - High resolution radar imaging from incomplete data
AU - Erer, I.
AU - Kent, S.
AU - Kartal, M.
PY - 2008
Y1 - 2008
N2 - A new efficient method to obtain high resolution ISAR images in the case of missing observation data is presented. The available data segments are modeled by 2-D linear prediction of 2-D Cartesian frequency spectra using 2-D orthogonal lattice filters. Then the prediction models are used to estimate the missing data segments. It is shown that the IFT processing of the resulting data achieves better resolved images both in range and cross-range. Our algorithm is based on the 2-D prediction of the backscattered data, while other existing algorithms model range or cross-range profiles separately. Therefore, our method provides a better modeling for the gapped data.
AB - A new efficient method to obtain high resolution ISAR images in the case of missing observation data is presented. The available data segments are modeled by 2-D linear prediction of 2-D Cartesian frequency spectra using 2-D orthogonal lattice filters. Then the prediction models are used to estimate the missing data segments. It is shown that the IFT processing of the resulting data achieves better resolved images both in range and cross-range. Our algorithm is based on the 2-D prediction of the backscattered data, while other existing algorithms model range or cross-range profiles separately. Therefore, our method provides a better modeling for the gapped data.
KW - 2D AR modeling
KW - 2D linear prediction
KW - High resolution radar imaging
UR - http://www.scopus.com/inward/record.url?scp=61849163377&partnerID=8YFLogxK
U2 - 10.1109/RADAR.2008.4721027
DO - 10.1109/RADAR.2008.4721027
M3 - Conference contribution
AN - SCOPUS:61849163377
SN - 9781424415397
T3 - 2008 IEEE Radar Conference, RADAR 2008
BT - 2008 IEEE Radar Conference, RADAR 2008
T2 - 2008 IEEE Radar Conference, RADAR 2008
Y2 - 26 May 2008 through 30 May 2008
ER -