SAR processing with zeros

Lead Research Organisation: University of Edinburgh
Department Name: Sch of Engineering

Abstract

Synthetic Aperture Radar (SAR) provides the military with an extremely valuable means of remote imaging and plays an important role in target detection. SAR works by measuring the electromagnetic signal reflections from the ground. Processing the raw received data to generate the image is usually performed using linear frequency domain techniqes such as the Polar Format Algorithm. However when there is missing data, or when gaps in the data (either spatially or spectrally) are introduced the performance of such estimators deteriorates considerably. The resulting images exhibit distortion and aliasing artefacts.Recently a new theory for signal reconstruction, called compressed sensing, has emerged. It explores the extent to which ill-posed sampling problems such as those discussed above can be made well-posed through the inclusion of strong signal models. These techniques have already been successfully applied to SAR image reconstruction for target detection and super resolution. The broad aim of this proposal is to explore the application of compressed sensing reconstruction techniques to SAR image formation when spatial and/or frequency notches are introduced into the transmitted/received signals. Ultimately we hope to gain a general understanding of the limits to which the SAR data acquisition system can be so modified without incurring serious performance degradation.

Publications

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Kelly S (2014) Sparsity-based autofocus for undersampled synthetic aperture radar in IEEE Transactions on Aerospace and Electronic Systems

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Kelly S.I. (2013) RFI suppression and sparse image formation for UWB SAR in Proceedings International Radar Symposium

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Kelly S.I. (2012) Auto-focus for Compressively Sampled SAR in 1st International Workshop on Compressed Sensing Applied to Radar

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Kelly, S (2013) RFI suppression and sparse image formation for UWB SAR in 14th International Radar Symposium (IRS) 2013

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Rilling G. (2010) Processing SAR data with gaps in the aperture: A compressed sensing perspective in Proceedings of the Institute of Acoustics

 
Description The project developed a range of advanced imaging solutions for Low Frequency Airborne SAR.
Exploitation Route The work has resulted in further consultancy work and software licencing with SEA Ltd and further research funding with EPSRC/Dstl through the UDRC
Sectors Aerospace, Defence and Marine,Digital/Communication/Information Technologies (including Software),Security and Diplomacy

URL http://www.mod-udrc.org
 
Description Research outputs have now been used to help evaluate the performance of a Low Frequency SAR commissioned by Dstl from SEA Ltd (2012). SEA subsequently purchased an evaluation licence for the code and commissioned a Edinburgh to write a white paper on the application of Compressed Sensing to 3D low Frequency SAR (2013). More recently the research outputs contributed to helping Selex ES to develop new fast Back projection software (2016).
First Year Of Impact 2012
Sector Aerospace, Defence and Marine,Digital/Communication/Information Technologies (including Software),Security and Diplomacy
Impact Types Economic