@inproceedings{535e720e0ec1417eb2ad1f865d3d402a,
title = "ISAR Image Formation of Maneuvering Target via Exploiting the Fractional Fourier Transformation",
abstract = "Inverse synthetic aperture radar (ISAR) imaging based on the range-Doppler (RD) imaging algorithm has been proved to be effective at the case of the target moves smoothly. However, for the maneuvering target, due to the Doppler frequency of the received signals, which can be regarded approximately as chirp signals, is time-varying, the conventional RD imaging algorithm is not appropriate anymore. In consideration of the fractional Fourier transform (FRFT) having an advantage in concentrating the energy of the chirp signal, a novel technique of ISAR image formation of the maneuvering target through exploiting the FRFT is proposed. Different from the traditional Wigner–Ville distribution (WVD) and other bilinear time–frequency distributions, the FRFT is a linear operator so that it cannot be affected by the cross-terms for the multicomponent signals. The validity of the introduced method is validated with the results of ISAR imaging for simulated and real data.",
keywords = "CLEAN technique, Fractional Fourier transform (FRFT), Inverse synthetic aperture radar (ISAR), Maneuvering target",
author = "Yong Wang and Jiajia Rong",
note = "Publisher Copyright: {\textcopyright} 2020, Springer Nature Singapore Pte Ltd.; International Conference on Communications, Signal Processing, and Systems, CSPS 2018 ; Conference date: 14-07-2018 Through 16-07-2018",
year = "2020",
doi = "10.1007/978-981-13-6504-1\_82",
language = "英语",
isbn = "9789811365034",
series = "Lecture Notes in Electrical Engineering",
publisher = "Springer Verlag",
pages = "676--684",
editor = "Qilian Liang and Xin Liu and Zhenyu Na and Wei Wang and Jiasong Mu and Baoju Zhang",
booktitle = "Communications, Signal Processing, and Systems - Proceedings of the 2018 CSPS Volume II",
address = "德国",
}