@inproceedings{2bfbbc9880cd4d3d88a220a96ae68bff,
title = "A novel method of constructing measurement matrix for CS-based SAR imaging",
abstract = "Compressed sensing (CS) is a recently developed theory which allows reconstruction of sparse signals with a number of measurements much lower than that required by the Nyquist sampling. The theory has been applied in many areas within synthetic aperture radar (SAR). This paper presents a novel method of constructing measurement matrix for CS-based SAR imaging, which enables the sensing matrix to meet RIP with high probability. Simulated results demonstrate the effectiveness of the proposed method, which can obtain a high quality radar image with fewer data samples, and the advantage of the proposed method is more obvious especially at high noise levels.",
keywords = "SAR, compressed sensing, measurement matrix",
author = "Haili Li and Xia Bai and Juan Zhao and Ran Tao",
year = "2012",
doi = "10.1109/CISP.2012.6469842",
language = "English",
isbn = "9781467309622",
series = "2012 5th International Congress on Image and Signal Processing, CISP 2012",
pages = "1754--1758",
booktitle = "2012 5th International Congress on Image and Signal Processing, CISP 2012",
note = "2012 5th International Congress on Image and Signal Processing, CISP 2012 ; Conference date: 16-10-2012 Through 18-10-2012",
}