Advanced Concepts for Ultra-Wide-Swath SAR Imaging

This paper reviews advanced multi-channel SAR system concepts for the imaging of ultra-wide swaths with high azimuth resolution. Novel system architectures and operational modes are introduced and compared to each other with regard to their performance

Advanced Multi-Channel SAR Imaging - Measured Data Demonstration

Synthetic Aperture Radar (SAR) is a well-established technique for remote sensing of the Earth. However, conventional SAR systems relying on only a single transmit and receive aperture are not capable of imaging a wide swath with high spatial resolution. Multi-channel SAR concepts, such as systems based on multiple receive apertures in azimuth, promise to overcome these restrictions, thus enabling high-resolution wide-swath imaging. Analysis revealed that these systems imperatively require sophisticated digital processing of the received signals in order to guarantee full performance independently of the spatial sample distribution imposed by the applied pulse repetition frequency (PRF). A suitable algorithm to cope with these challenges of multi-channel data is given by the “multi-channel reconstruction algorithm”, which demonstrated in comprehensive analysis and system design examples its potential for high perform-ance SAR imaging. In this context, various optimization strategies were investigated and aspects of operating multi-channel systems in burst modes such as ScanSAR or TOPS were discussed. Furthermore, a first proof-of-principle showed the algorithm’s applicability to measured multi-channel X-band data gathered by the German Aerospace Cen-ter’s (DLR) airborne F-SAR system. As a next step in the framework of multi-channel azimuth processing, this paper builds on the results recalled above and continues two paths. Firstly, focus is turned to further optimization of the proc-essing algorithm by investigating the classical Space-Time Adaptive Processing (STAP) applied to SAR. Secondly, attention is turned to the analysis of the measured multi-channel data by elaborating the impact and compensation of channel mismatch and by verifying the derived theory

Ultra Wide Swath Imaging With Multi-Channel SAR Systems

Multi-channel radar systems allow for overcoming the inherent limitation of conventional synthetic aperture radar (SAR). An example is the combination of digital beamforming on receive in elevation with multi-aperture SAR signal reconstruction in azimuth which enables high-resolution wide-swath. As a next step, focus is turned to advanced concepts for the imaging of even wider swaths with high azimuth resolution. In this regard, the paper investigates the operation of multi-channel SAR systems in burst modes like ScanSAR or TOPS-SAR and analyses aspects of applying the multi-aperture reconstruction algorithm in combination with burst mode operation. The impact of the digital processing network on the SNR and the azimuth ambiguity-to-signal-ratio in multi-channel burst mode systems are considered and embedded in the design example of a ScanSAR system that enables the imaging of a 400 km wide swath with a geometric resolution of 5

COMBINING PATCH-BASED ESTIMATION AND TOTAL VARIATION REGULARIZATION FOR 3D INSAR RECONSTRUCTION

International audienceIn this paper we propose a new approach for height retrieval using multi-channel SAR interferometry. It combines patch-based estimation and total variation regularization to provide a regularized height estimate. The non-local likelihood term adaptation relies on NL-SAR method, and the global optimization is realized through graph-cut minimization. The method is evaluated both with synthetic and real experiments

'Concept and Performance of Internal Instrument Calibration for Multi-Channel SAR'

The increased complexity of multi-channel SAR sensors and the real-time on-board phase/amplitude correction requirement poses new challenges for the calibration, which cannot rely on current calibration techniques. On the other hand, the digital hardware utilized in multi-channel SAR systems, offer entirely new opportunities for the calibration such as on-board error correction and digital calibration. An internal calibration strategy for future digital beamforming SAR instruments is detailed and its performance analyzed using a dedicated calibration simulator

Advanced Synthetic Aperture Radar Based on Digital Beamforming and Waveform Diversity

This paper introduces innovative SAR system concepts for the acquisition of high resolution radar images with wide swath coverage from spaceborne platforms. The new concepts rely on the combination of advanced multi-channel SAR front-end architectures with novel operational modes. The architectures differ regarding their implementation complexity and it is shown that even a low number of channels is already well suited to significantly improve the imaging performance and to overcome fundamental limitations inherent to classical SAR systems. The more advanced concepts employ a multidimensional encoding of the transmitted waveforms to further improve the performance and to enable a new class of hybrid SAR imaging modes that are well suited to satisfy hitherto incompatible user requirements for frequent monitoring and detailed mapping. Implementation specific issues will be discussed and examples demonstrate the potential of the new techniques for different remote sensing applications