ISAR imaging of maneuvering target based on local wave decomposition
基于局域波分解的机动目标ISAR成像

During the short time of the inverse synthetic aperture radar (ISAR) imaging, for inert maneuvering targets such as aircraft, the echoes of the same range cell can be considered to approximately consist of multi-component linear frequency modulated (LFM) signals with different chirp rate. For these cases, a method based on local wave decomposition and Wigner-Ville transformation is proposed, and thus 2-D imaging of the target is realized. It can not only avoid the cross-term of Wigner-Ville transformation but also decrease the computational load effectively for keeping high time-frequency resolution. Computer simulation results demonstrate the validity of the proposed algorithm.