Details of Grant 

EPSRC Reference:	EP/H012370/1
Title:	SAR processing with zeros
Principal Investigator:	Davies, Professor M
Other Investigators:	Mulgrew, Professor B
Researcher Co-Investigators:
Project Partners:
Department:	Sch of Engineering
Organisation:	University of Edinburgh
Scheme:	Standard Research
Starts:	01 March 2010	Ends:	31 August 2013	Value (£):	106,109
EPSRC Research Topic Classifications:	Digital Signal Processing
EPSRC Industrial Sector Classifications:	Aerospace, Defence and Marine
Related Grants:
Panel History:	Panel Date Panel Name Outcome 28 Apr 2009 DSTL-EPSRC Signal Processing Announced
Summary on Grant Application Form
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.
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