Microwave Imaging Based on Compressive Sensing Method
Autor: | Shi Qi Yu, Chao Yi, Qin Qin, Li Ping Shi, Shi Hui Zhang, Guang Xu Liu, Qing He Zhang |
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Rok vydání: | 2019 |
Předmět: |
Microwave imaging
Compressed sensing Materials science Field (physics) Acoustics Electric field 0202 electrical engineering electronic engineering information engineering 020206 networking & telecommunications 02 engineering and technology Iterative reconstruction Dielectric Electric-field integral equation Noise (electronics) |
Zdroj: | 2019 IEEE International Conference on Computational Electromagnetics (ICCEM). |
DOI: | 10.1109/compem.2019.8778848 |
Popis: | In this paper, the two-dimensional target microwave imaging is studied by using compressive sensing method. Based on the electric field integral equation and the discrezation of the imaging region, a compressive sensing observation matrix is established, and multiple scattering field observation points are set up and the scattering electric field to be obtained based on the moment method. Finally, the reconstruction method is used to perform microwave imaging on the target position and dielectric constant. Reconstruction example includes the effects of different target numbers, different size targets, inhomogeneous targets, and noise. The numerical simulation results verify the effectiveness of the proposed method, and show that the compressive sensing method has important potential application in the field of microwave imaging. |
Databáze: | OpenAIRE |
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