A novel strategy for radar imaging based on compressive sensing

Tello Alonso, Mariví; Lopez Dekker, Paco; López-Dekker, Paco; Mallorqui, Jordi J.

A novel strategy for radar imaging based on compressive sensing

Conference paper (2008)

Authors

Mariví Tello Alonso Universitat Politecnica de Catalunya

Paco Lopez Dekker Universitat Politecnica de Catalunya

Paco López-Dekker Universitat Politecnica de Catalunya

Jordi J. Mallorqui Universitat Politecnica de Catalunya

Affiliation

External organisation

Compressibility Compressive sensing Matching pursuit Radar imaging Matched filter Sparseness

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Published Date

2008

Language

English

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Affiliation

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Abstract

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.