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.

Highlights

  • Bistatic Synthetic Aperture Radar (SAR) plays an important role in various remote sensing applications, where the transmitter could be a dedicated SAR [1,2,3] or opportunistic illuminator systems, such as communication satellites or global navigation satellite systems (GNSS)

  • Our research focuses on the Global Navigation Satellite System (GNSS)-based bistatic SAR, as the GNSS system with a designed permanent global coverage is an ideal choice for bistatic SAR compared with other opportunistic illuminators

  • GNSS-based bistatic SAR can achieve easy synchronization aided by the GNSS time service [16,17]

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Summary

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

Hong-Cheng Zeng 1 , Peng-Bo Wang 1,2 , Jie Chen 1,2, *, Wei Liu 3 , LinLin Ge 4 and Wei Yang 1. Electronic and Electronic Engineering Department, University of Sheffield, Sheffield S1-3JD, UK;. Received: 14 December 2015; Accepted: 23 February 2016; Published: 26 February 2016

Introduction
Signal Model of GNSS-Based Bistatic SAR
Aperture
GNSS-Based Bistatic SAR Signal Analysis
System
For thelines
As shows the resolution distribution with the configurations
AAGeneral
Range Compression
Bulk RCMC
Modified
Comparative Experiments and Analysis
Imaging Simulation Experiments and Analysis
12. As in shown
Conclusions

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