@inproceedings{34edcbcba8374a19bff2e079496c0aeb,
title = "Micro-Doppler extraction from ISAR image",
abstract = "The micro-Doppler is an effective tool for target recognition. It is hard to detect micro-Doppler induced by vibration for its small value. In our system, phase-modulated stepped-frequency waveform is used. The method of matching pursuit (MP) is introduced to compensate translation. Translation trajectory is approximated by Chebyshev polynomial to improve approximation accuracy under low signal-to-noise ratio. The parameters in the polynomial are estimated by MP. To improve the performance of MP, simulated annealing is used. The operation of translation parameters estimation is performed in frequency domain before pulse compression. After translation compensation and pulse compression, Doppler component induced by rotation is mitigated by phase fitting. After compensation of translation and rotation, micro-Doppler is extracted from the result of motion compensation based on vibration model. Simulation and experiment data are used to testify our method.",
keywords = "Chebyshev polynomial, matching pursuit, micro-Doppler, simulated annealing, stepped-frequency waveform",
author = "Feng Li and Jun Cao and Lixiang Ren and Teng Long",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 41st IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2016 ; Conference date: 20-03-2016 Through 25-03-2016",
year = "2016",
month = may,
day = "18",
doi = "10.1109/ICASSP.2016.7472248",
language = "English",
series = "ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "3101--3105",
booktitle = "2016 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2016 - Proceedings",
address = "United States",
}