@inproceedings{cd1dea12bbcb4608bb27269839a53f89,
title = "High resolution radar imaging with undersampled data",
abstract = "A novel 2D imaging algorithm is presented for stepped-frequency radar imaging systems. By solving an optimization problem which enforces targets sparsity, a 2D image with better resolutions can be obtained by using the undersampled data through 2D - SL0 minimization algorithm. This method can greatly reduce the data amount at both frequencies and rotation angles. Imaging results from both simulated and experimental exhibit the increased performance on resolutions comparing to the traditional 2D-FFT method.",
keywords = "2D - SL minimization, Compressive sensing, Radar 2D Imaging, Undersampled data",
author = "Haitao Zheng and Shiyong Li and Guoqiang Zhao and Hang Cheng and Houjun Sun",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; Asia-Pacific Microwave Conference, APMC 2015 ; Conference date: 06-12-2015 Through 09-12-2015",
year = "2016",
month = feb,
day = "18",
doi = "10.1109/APMC.2015.7413077",
language = "English",
series = "Asia-Pacific Microwave Conference Proceedings, APMC",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
editor = "Fan Meng and Wei Hong and Xiao-Wei Zhu and Guang-Qi Yang and Zhe Song",
booktitle = "2015 Asia-Pacific Microwave Conference, APMC 2015 - Proceedings",
address = "United States",
}