@inproceedings{6387b2255da048f69fff2f96cca92343,
title = "Compressed sensing for portable millimeter wave 3D imaging radar",
abstract = "In our previous paper, a 3D imaging radar system is proposed. To further improve the sensing efficiency and imaging quality, compressed sensing approach to recover 3D imaging is studied in this paper. Based on the raw radar of the proposed system, we discussed the sensing basis and constructed representation basis. The simulation and experiment results show that the compressed sensing approach can achieve a high quality 3D imaging.",
keywords = "Compressed sensing, DSP, Millimeter wave imaging, Radar 3D imaging, SAR",
author = "Renyuan Zhang and Siyang Cao",
note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 2017 IEEE Radar Conference, RadarConf 2017 ; Conference date: 08-05-2017 Through 12-05-2017",
year = "2017",
month = jun,
day = "7",
doi = "10.1109/RADAR.2017.7944286",
language = "English (US)",
series = "2017 IEEE Radar Conference, RadarConf 2017",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "663--668",
booktitle = "2017 IEEE Radar Conference, RadarConf 2017",
}