Compared with the ground-based Inverse Synthetic Aperture Radar (ISAR), although there are many advantages in the aerostat borne ISAR, but its radar platform is a degree of instability, which will interfere with ISAR imaging. For aerostat borne ISAR autofocus imaging, a high-resolution imaging algorithm based on phase retrieval principle is proposed in this paper. Theoretical analysis shows that the translational motion or vibration of the radar platform does not affect the magnitude of ISAR echo. Therefore, phase retrieval algorithm can eliminate the instability of the radar platform. Compared with the traditional algorithms, the results show that the proposed method in this paper can obtain better imaging results without estimating the motion parameters of the radar platform.
Hongyin Shi, Saiyue Xia, and Zhijun G. Qiao, "Aerostat borne ISAR autofocus imaging based on phase retrieval," Proc. SPIE 10633, Radar Sensor Technology XXII, 1063307 (Presented at SPIE Defense + Security: April 18, 2018; Published: 4 May 2018); https://doi.org/10.1117/12.2307787.
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