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Aerostat borne ISAR autofocus imaging based on phase retrieval
Author(s): Hongyin Shi; Saiyue Xia; Zhijun G. Qiao
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Paper Abstract

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.

Paper Details

Date Published: 4 May 2018
PDF: 6 pages
Proc. SPIE 10633, Radar Sensor Technology XXII, 1063307 (4 May 2018); doi: 10.1117/12.2307787
Show Author Affiliations
Hongyin Shi, Yanshan Univ. (China)
The Univ. of Texas Rio Grande Valley (United States)
Saiyue Xia, Yanshan Univ. (China)
Zhijun G. Qiao, The Univ. of Texas Rio Grande Valley (United States)


Published in SPIE Proceedings Vol. 10633:
Radar Sensor Technology XXII
Kenneth I. Ranney; Armin Doerry, Editor(s)

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