TY - GEN
T1 - Superresolution ISAR imaging of maneuvering targets via subspace tracking
AU - Fu, Tuo
AU - Gao, Meiguo
AU - Han, Yueqiu
PY - 2003
Y1 - 2003
N2 - For the problem of ISAR imaging of maneuvering targets, the Doppler frequency shifts are time-varying and range migration may still happen even after the motion compensation due to the complex motion of targets. Sliding window MUSIC algorithm based on a computationally efficient subspace updating method which takes advantage of the URV decomposition is applied to solve this problem. The effectiveness of this algorithm is shown by presenting and discussing some simulation results.
AB - For the problem of ISAR imaging of maneuvering targets, the Doppler frequency shifts are time-varying and range migration may still happen even after the motion compensation due to the complex motion of targets. Sliding window MUSIC algorithm based on a computationally efficient subspace updating method which takes advantage of the URV decomposition is applied to solve this problem. The effectiveness of this algorithm is shown by presenting and discussing some simulation results.
UR - http://www.scopus.com/inward/record.url?scp=78650161584&partnerID=8YFLogxK
U2 - 10.1109/ICNNSP.2003.1280766
DO - 10.1109/ICNNSP.2003.1280766
M3 - Conference contribution
AN - SCOPUS:78650161584
SN - 0780377028
SN - 9780780377028
T3 - Proceedings of 2003 International Conference on Neural Networks and Signal Processing, ICNNSP'03
SP - 986
EP - 989
BT - Proceedings of 2003 International Conference on Neural Networks and Signal Processing, ICNNSP'03
T2 - 2003 International Conference on Neural Networks and Signal Processing, ICNNSP'03
Y2 - 14 December 2003 through 17 December 2003
ER -