Abstract
In this paper, we briefly describe a single detector passive millimeter-wave imaging system, which has been previously presented. The system uses a cyclic sensing matrix to acquire incoherent measurements of the observed scene and then reconstructs the image using a Bayesian approach. The cyclic nature of the sensing matrix allows for the design of a single unified and compact mask that provides all the required random masks in a convenient way, such that no mechanical mask exchange is needed. Based on this setup, we primarily propose the optimal adaptive selection of sampling submasks out of the full cyclic mask to obtain improved reconstruction results. The reconstructed images show the feasibility of the imaging system as well as its improved performance through the proposed sampling scheme.
© 2012 Optical Society of America
Full Article | PDF ArticleMore Like This
Lingbo Qiao, Yingxin Wang, Zongjun Shen, Ziran Zhao, and Zhiqiang Chen
Appl. Opt. 54(11) 3280-3289 (2015)
Ruoyu Zhu, Jonathan T. Richard, David J. Brady, Daniel L. Marks, and Henry O. Everitt
Opt. Express 25(3) 2270-2284 (2017)
Qiao Cheng, Akram Alomainy, and Yang Hao
Appl. Opt. 55(4) 728-738 (2016)