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Remote Sens. 2017, 9(8), 783;

A Novel Spaceborne Sliding Spotlight Range Sweep Synthetic Aperture Radar: System and Imaging

Department of Electronic Engineering, Tsinghua University, Beijing 100084, China
School of Electronic Information Engineering, Beihang University, Beijing 100191, China
Author to whom correspondence should be addressed.
Academic Editors: Zhong Lu, Zhenhong Li and Prasad S. Thenkabail
Received: 10 May 2017 / Revised: 18 July 2017 / Accepted: 26 July 2017 / Published: 31 July 2017
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In this paper, a new Spaceborne Sliding Spotlight Range Sweep Synthetic Aperture Radar (SSS-RSSAR) is proposed to generate a high-resolution image of a Region of Interest (ROI) tilted with respect to the satellite track. Comparing to the traditional Spaceborne Sliding Spotlight Synthetic Aperture Radar (SSS-SAR), the SSS-RSSAR is superior in contributing to less data amount, lighter computational load and hence higher observation efficiency. Unlike the Spaceborne Stripmap Range Sweep Synthetic Aperture Radar (SS-RSSAR) proposed in a previous paper, the SSS-RSSAR not only continuously sweeps the beam in range for the ROI tracking, but also in azimuth to enlarge the synthetic aperture for an improved azimuth resolution. Two aspects of the SSS-RSSAR are focused: system and imaging. For the system part, a Continuous Varying Pulse Interval (CVPI) technique is proposed to avoid the transmission blockage problem by non-uniformly adjusting the pulse intervals based on the geometry. For the imaging part, a Modified Polar Format Algorithm (MPFA) is proposed to accommodate the original polar format algorithm to the echo received with the CVPI technique. Moreover, an integrate system parameter design flow for the SSS-RSSAR is also suggested. The presented approach is evaluated by exploiting the point target simulations. View Full-Text
Keywords: SSS-RSSAR; CVPI; MPFA; system parameter design SSS-RSSAR; CVPI; MPFA; system parameter design

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Wang, Y.; Li, J.; Yang, J.; Sun, B. A Novel Spaceborne Sliding Spotlight Range Sweep Synthetic Aperture Radar: System and Imaging. Remote Sens. 2017, 9, 783.

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