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Sensors 2016, 16(3), 294; doi:10.3390/s16030294

A Novel General Imaging Formation Algorithm for GNSS-Based Bistatic SAR

1
School of Electronic and Information Engineering, Beihang University, Beijing 100191, China
2
Collaborative Innovation Center of Geospatial Technology, Wuhan 430079, China
3
Electronic and Electronic Engineering Department, University of Sheffield, Sheffield S1-3JD, UK
4
School of Civil & Environment Engineering, The University of New South Wales (UNSW), Sydney NSW 20512, Australia
*
Author to whom correspondence should be addressed.
Academic Editor: Assefa M. Melesse
Received: 14 December 2015 / Revised: 16 February 2016 / Accepted: 23 February 2016 / Published: 26 February 2016
(This article belongs to the Section Remote Sensors)
View Full-Text   |   Download PDF [8960 KB, uploaded 26 February 2016]   |  

Abstract

Global Navigation Satellite System (GNSS)-based bistatic Synthetic Aperture Radar (SAR) recently plays a more and more significant role in remote sensing applications for its low-cost and real-time global coverage capability. In this paper, a general imaging formation algorithm was proposed for accurately and efficiently focusing GNSS-based bistatic SAR data, which avoids the interpolation processing in traditional back projection algorithms (BPAs). A two-dimensional point target spectrum model was firstly presented, and the bulk range cell migration correction (RCMC) was consequently derived for reducing range cell migration (RCM) and coarse focusing. As the bulk RCMC seriously changes the range history of the radar signal, a modified and much more efficient hybrid correlation operation was introduced for compensating residual phase errors. Simulation results were presented based on a general geometric topology with non-parallel trajectories and unequal velocities for both transmitter and receiver platforms, showing a satisfactory performance by the proposed method. View Full-Text
Keywords: bistatic SAR; GNSS; bulk RCMC; modified hybrid correlation bistatic SAR; GNSS; bulk RCMC; modified hybrid correlation
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Zeng, H.-C.; Wang, P.-B.; Chen, J.; Liu, W.; Ge, L.; Yang, W. A Novel General Imaging Formation Algorithm for GNSS-Based Bistatic SAR. Sensors 2016, 16, 294.

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