A Compressive Sensing-Based Approach for Millimeter-Wave Imaging Compatible with Fourier-Based Image Reconstruction Techniques

被引：0
作者：
Molaei, Amir Masoud [1 ]
Kumar, Rupesh [1 ]
Hu, Shaoqing [2 ]
Skouroliakou, Vasiliki [1 ]
Fusco, Vincent [1 ]
Yurduseven, Okan [1 ]
机构：
[1] Queens Univ Belfast, Inst Elect Commun & Informat Technol ECIT, Belfast, Antrim, North Ireland
[2] Brunel Univ London, Dept Elect & Elect Engn, London, England
来源：
2022 23RD INTERNATIONAL RADAR SYMPOSIUM (IRS) | 2022年
关键词：
Compressive sensing; experimental results; Fourier-based techniques; mm-wave imaging; RADAR; ALGORITHM;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
The unique characteristics of the millimeter-wave (mmW) frequency band have led to its widespread use in various fields such as communications, imaging, and wireless sensing. This paper addresses two different mmW imaging structures, monostatic and multistatic, in the face of a sparse spatial sampling scenario. By using compressive sensing theory, a solution for image reconstruction, consistent with fast Fourierbased techniques, is presented with compressed data obtained from monostatic imaging. This solution is then generalized to a multiple-input multiple-output (MIMO) imaging case using a multistatic-to-monostatic conversion. Reconstructed images from numerical and experimental data show the satisfactory performance of the presented approach.
引用
收藏
页码：87 / 91
页数：5
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