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Proceedings Paper

Compressive sensing for a general SAR imaging model based on Maxwell’s equations
Author(s): Bing Sun; Haicheng Gu; Mengqi Hu; Zhijun Qiao
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Paper Abstract

A general echo model is derived for the synthetic aperture radar (SAR) imaging with high resolution based on the scalar form of Maxwell's equations. After the consideration of the general echo model in frequency domain, a compressive sensing (CS) matrix is constructed from random partial Fourier matrices for processing the range CS SAR imaging. Simulations validate the orthogonality of the proposed CS matrix and the CS SAR imaging based on the general echo model.

Paper Details

Date Published: 14 May 2015
PDF: 9 pages
Proc. SPIE 9484, Compressive Sensing IV, 948402 (14 May 2015); doi: 10.1117/12.2177845
Show Author Affiliations
Bing Sun, Beihang Univ. (China)
Haicheng Gu, The Univ. of Texas-Pan American (United States)
Mengqi Hu, The Univ. of Texas-Pan American (United States)
Zhijun Qiao, The Univ. of Texas-Pan American (United States)


Published in SPIE Proceedings Vol. 9484:
Compressive Sensing IV
Fauzia Ahmad, Editor(s)

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