Sequential Frequency-Domain Imaging Algorithm for Near-Field MIMO-SAR With Arbitrary Scanning Paths

Author(s):  
Rongqiang Zhu ◽  
Jianxiong Zhou ◽  
Binbin Cheng ◽  
Qiang Fu ◽  
Ge Jiang
2011 ◽  
Vol 33 (5) ◽  
pp. 1082-1087 ◽  
Author(s):  
Yun-kai Deng ◽  
Qian Chen ◽  
Hai-ming Qi ◽  
Hui-fang Zheng ◽  
Ya-dong Liu

2014 ◽  
Vol 58 ◽  
pp. 193-203 ◽  
Author(s):  
Jianfei Chen ◽  
Yuehua Li ◽  
Jianqiao Wang ◽  
Yuanjiang Li ◽  
Yilong Zhang

2021 ◽  
Vol 8 ◽  
Author(s):  
Jiaqi Han ◽  
Long Li ◽  
Shuncheng Tian ◽  
Xiangjin Ma ◽  
Qiang Feng ◽  
...  

This article presents a holographic metasurface antenna with stochastically distributed surface impedance, which produces randomly frequency-diverse radiation patterns. Low mutual coherence electric field patterns generated by the holographic metasurface antenna can cover the K-band from 18 to 26 GHz with 0.1 GHz intervals. By utilizing the frequency-diverse holographic metasurface (FDHM) antenna, we build a near-field microwave computational imaging system based on reflected signals in the frequency domain. A standard horn antenna is adopted to acquire frequency domain signals radiated from the proposed FDHM antenna. A detail imaging restoration process is presented, and the desired targets are correctly reconstructed using the 81 frequency-diverse patterns through full-wave simulation studies. Compressed sensing technique and iterative shrinkage/thresholding algorithms are applied for the imaging reconstruction. The achieved compressive ratio of this computational imaging system on the physical layer is 30:1.


2013 ◽  
Vol E96.B (2) ◽  
pp. 605-612 ◽  
Author(s):  
Junjie WU ◽  
Jianyu YANG ◽  
Yulin HUANG ◽  
Haiguang YANG ◽  
Lingjiang KONG

Author(s):  
Ming-min Zhang ◽  
Guang-li Cheng ◽  
Guo-jun Xu ◽  
Cheng-yuan Liu

2018 ◽  
Vol 2018 ◽  
pp. 1-10 ◽  
Author(s):  
Tao Hong ◽  
Jin Yao ◽  
Cong Liu ◽  
Fei Qi

In recent years, with the energy consumption and environmental degradation, science and technology embarked on a path of sustainable development. In this situation, 5G green communication system has been widely used. This paper introduces the application of RF reflectors to 5G mmWave, where line-of-sight (LoS) blockage is a major hindrance for the coverage. In particular, we investigate the lab measurement of RF reflectors, which is a critical step from the theory to the practice. Furthermore, through the lab measurement, a 3D near-field range migration (RM) imaging algorithm for MIMO array configuration is proposed, and the sampling scheme is improved to save the computation time while providing high-quality images.


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