Abstract

With the recent launches of the German TerraSAR-X and the Canadian RADARSAT-2, both equipped with phased array antennas and multiple receiver channels, synthetic aperture radar, ground moving target indication (SAR-GMTI) data are now routinely being acquired from space. Defence R&D Canada has been conducting SAR-GMTI trials to assess the performance and limitations of the RADARSAT-2 GMTI system. Several SAR-GMTI modes developed for RADARSAT-2 are described and preliminary test results of these modes are presented. Detailed equations of motion of a moving target for multiaperture spaceborne SAR geometry are derived and a moving target parameter estimation algorithm developed for RADARSAT-2 (called the Fractrum Estimator) is presented. Limitations of the simple dual-aperture SAR-GMTI mode are analysed as a function of the signal-to-noise ratio and target speed. Recently acquired RADARSAT-2 GMTI data are used to demonstrate the capability of different system modes and to validate the signal model and the algorithm.

Highlights

  • Due to the significant clutter Doppler spread that is imparted by a fast-moving space-based radar (SBR) platform and the large footprints that result from space observation of the earth, detection of airborne and ground vehicles is a difficult problem

  • We describe here a target parameter estimation algorithm based on the fractional Fourier transform (FrFT) [44] and along-track interferometry (ATI) [45], called the Fractrum Estimator, for the RADARSAT-2 imaging geometry

  • The results show that the standard deviation of the estimate of the range speed, indicated by the length of the error bars, increases with increasing target range speed Vtr

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Summary

Introduction

Before the launches of German TerraSAR-X [9], Canadian RADARSAT-2 [10], and Italian COSMO-SkyMed [11] in 2007-2008, spaceborne SARs were only single-aperture systems Such systems have a very limited GMTI capability due to dominant radar clutter, which prevents slowly moving targets from being detected. SAR-GMTI processing algorithms developed by the German Aerospace Center (DLR) and the Institute for High Frequency Physics and Radar Techniques (FGAN-FHR) are discussed in more details, as they have adopted two very different approaches and assumptions for the detection and estimation of ground moving targets.

RADARSAT-2 MODEX Modes
Equations of Motion of a Moving Target
RsVhor
D RRsVhor
Parameter Estimation Algorithm
Interferometric Phase Properties in the Presence of Clutter
MODEX Results
Conclusions
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