2022
DOI: 10.1109/ojap.2022.3161128
|View full text |Cite
|
Sign up to set email alerts
|

Frequency Selective Computational Through Wall Imaging Using a Dynamically Reconfigurable Metasurface Aperture

Abstract: A two-dimensional (2D) dynamically reconfigurable metasurface aperture is presented to perform frequency selective through wall imaging (TWI) with an unknown structure of the wall. Generally, in TWI, the medium properties and thickness of the wall need to be known in advance, which is not always possible. Moreover, compensating for these effects can significantly increase the computational complexity. We propose a two-stage method that leverages the concept of a dynamically reconfigurable metasurface antenna (… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

0
16
0

Year Published

2022
2022
2024
2024

Publication Types

Select...
5
4

Relationship

3
6

Authors

Journals

citations
Cited by 19 publications
(16 citation statements)
references
References 39 publications
(34 reference statements)
0
16
0
Order By: Relevance
“…DMAs) cannot be modeled as individual dipoles. This is because the DMA concept relies on a physical layer compression [15,47].…”
Section: > Replace This Line With Your Manuscript Id Number (Double-c...mentioning
confidence: 99%
“…DMAs) cannot be modeled as individual dipoles. This is because the DMA concept relies on a physical layer compression [15,47].…”
Section: > Replace This Line With Your Manuscript Id Number (Double-c...mentioning
confidence: 99%
“…Therefore, a polarization-sensitive metal bar (0.1 m×0.05 m) is set as the target. The imaging distance is 0.5 m and the CPI experiments are implemented with a signal-to-noise ratio (SNR) of 20 dB [21], [22]. Experiments are conducted in three cases.…”
Section: Drmt-based Cpi Simulationsmentioning
confidence: 99%
“…OMPUTATIONAL imaging (CI) has gained great traction due to its potential in microwave imaging applications, such as security screening, through-the-wall imaging, autonomous driving, etc. [1][2][3][4][5]. Unlike conventional imaging systems such as the synthetic aperture radar (SAR) or the phased array radar (PAR), no raster scanning mechanism is needed under the CI scheme, which relaxes the hardware constraints and improves the data acquisition efficiency [6][7][8][9].…”
Section: Introductionmentioning
confidence: 99%