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A Novel Strategy for Radar Imaging Based on Compressive Sensing

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3 Author(s)
Marivi Tello ; Remote Sensing Laboratory (RSLAB), Universitat Politecnica de Catalunya (UPC) ; Paco Lopez-Dekker ; Jordi J. Mallorqui

This paper aims at introducing the recent theory of compressive sensing to radar imaging systems in order to retrieve the imaged scene with better resolution and a reduced amount of collected samples. As a result of the application of the alternative imaging technique proposed, the use of matched filtering is avoided and the effect of its sidelobes in the images is drastically diminished. Furthermore, the amount of data to be stacked in the sensor and then downlinked to the ground station is meaningfully lower. This permits a more efficient management of resources.

Published in:

IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium  (Volume:2 )

Date of Conference:

7-11 July 2008