On 2D-Imaging Algorithm for Underwater Target in Near-Field

2008 ◽  
Author(s):  
Ming-min Zhang ◽  
Guang-li Cheng ◽  
Guo-jun Xu ◽  
Cheng-yuan Liu
Keyword(s):  
Near Field ◽  
Imaging Algorithm ◽  
2D Imaging ◽  
Underwater Target

scholarly journals REGULARIZATION IMAGING ALGORITHM WITH ACCURATE G MATRIX FOR NEAR-FIELD MMW SYNTHETIC APERTURE IMAGING RADIOMETER

2014 ◽  
Vol 58 ◽  
pp. 193-203 ◽  
Author(s):  
Jianfei Chen ◽  
Yuehua Li ◽  
Jianqiao Wang ◽  
Yuanjiang Li ◽  
Yilong Zhang
Keyword(s):  
Near Field ◽  
Synthetic Aperture ◽  
Synthetic Aperture Imaging ◽  
Imaging Algorithm

scholarly journals A 3-D SAR Imaging Method Based on Back Projection Algorithm

2021 ◽  
Vol 2083 (3) ◽  
pp. 032050
Author(s):  
Qian Han ◽  
Pengbo Wang ◽  
Xinkai Zhou ◽  
Xinchang Hu ◽  
Yanan Guo
Keyword(s):  
3D Imaging ◽  
Bp Algorithm ◽  
Projection Algorithm ◽  
Imaging Method ◽  
Back Projection ◽  
Imaging Processing ◽  
Imaging Algorithm ◽  
Imaging Results ◽  
2D Imaging ◽  
Low Efficiency

Abstract 3D back projection (BP) algorithm is an imaging algorithm based on time domain echo data, which effectively solves the overlapping mask problem existing in 2D SAR. It can complete the imaging processing of echo signal under any geometry configuration, and has the advantages of high target focusing accuracy and high phase preservation. However, the high complexity and low efficiency of 3D BP imaging algorithm limit its application and development. In this paper, a 3d imaging method based on improved back projection algorithm is proposed. Aiming at the problem that existing imaging algorithms need 2D imaging first and then 3D imaging, an improved 3D BP algorithm is proposed to directly 3D imaging, which avoids 2d imaging processing. The proposed method simplifies the steps of the traditional 3D BP algorithm and improves the efficiency of the algorithm. The validity and effectiveness of the proposed method are verified by the 3d imaging results of simulated lattice targets.

scholarly journals mmWave Measurement of RF Reflectors for 5G Green Communications

2018 ◽  
Vol 2018 ◽  
pp. 1-10 ◽  
Author(s):  
Tao Hong ◽  
Jin Yao ◽  
Cong Liu ◽  
Fei Qi
Keyword(s):  
Near Field ◽  
Computation Time ◽  
Line Of Sight ◽  
Green Communications ◽  
Green Communication ◽  
High Quality ◽  
Field Range ◽  
Imaging Algorithm ◽  
Array Configuration ◽  
Range Migration

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.

A Near-Field Fast Time-Frequency Joint 3-D Imaging Algorithm Based on Aperture Linearization

2021 ◽  
Author(s):  
Xuan Zeng ◽  
Yuxin Ma ◽  
Zhongyu Li ◽  
Junjie Wu ◽  
Jianyu Yang
Keyword(s):  
Near Field ◽  
Fast Time ◽  
Imaging Algorithm ◽  
Time Frequency

scholarly journals A Robust Reweighted L1-Minimization Imaging Algorithm for Passive Millimeter Wave SAIR in Near Field

Sensors ◽  
2015 ◽  
Vol 15 (10) ◽  
pp. 24945-24960 ◽  
Author(s):  
Yilong Zhang ◽  
Yuehua Li ◽  
Shujin Zhu ◽  
Yuanjiang Li
Keyword(s):  
Millimeter Wave ◽  
Near Field ◽  
L1 Minimization ◽  
Imaging Algorithm
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