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Superresolution ISAR imaging of maneuvering targets via subspace tracking

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3 Author(s)
Tuo Fu ; Dept. of Electron. Eng., Beijing Inst. of Technol., China ; Meiguo Gao ; Yueqiu Han

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.

Published in:

Neural Networks and Signal Processing, 2003. Proceedings of the 2003 International Conference on  (Volume:2 )

Date of Conference:

14-17 Dec. 2003