Radar imaging with compressed sensing

Authors

  • Brian J. Harding,

    Corresponding author
    1. Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA
    • Corresponding author: B. J. Harding, Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, 323 Coordinated Science Lab, 1308 W Main St., Urbana, IL 61801, USA. (bhardin2@illinois.edu)

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  • Marco Milla

    1. Radio Observatorio de Jicamarca, Instituto Geofísico del Perú, Lima, Peru
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Abstract

[1] A novel technique for radar-imaging inversions is proposed which leverages ideas from the emerging field of compressed sensing. This new method takes advantage of the transform sparsity inherent in natural images. Theoretical recovery results are promising and are borne out by simulations in which this technique outperforms Capon's method and the Maximum Entropy method. Preliminary results using data collected at the Jicamarca Radio Observatory are also presented.

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