ISAR Imaging of Moving Targets Based on Reassigned Smoothed Pseudo Wigner-Ville Distribution
نویسندگان
چکیده
High-range resolution inverse synthetic aperture radar (ISAR) imaging is a promising tool for non-cooperative target identification and has attracted wide interest within the scientific and military communities. Most of the existing ISAR algorithms are based on the Fourier transform. However, for long coherent integration time or for fast maneuvering targets, simple Fourier processing without compensation will lead to severe blurred and distorted image. In this paper, we propose a reassigned smoothed pseudo Wigner-Ville distribution for focusing distorted ISAR images of moving/rotating targets. The effectiveness of this method has been successfully applied to simulated and experimental data sets. Key wordsTime Frequency analysis, ISAR imaging, reassigned pseudo wigner-ville distribution.
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