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• W4313407163 abstract "This chapter discusses the use of metamaterials and frequency selective surfaces for improving the performance of microwave or millimeter wave image-sensing antennas. The selection of a particular image sensing antenna system mainly depends on the application and required quality of the reconstructed images. Different metamaterial-frequency-selective surfaces-based antenna-designing approaches for image sensing are presented here. Conventional microwave-imaging schemes employ mechanically scanning antennas or electronic phased arrays to raster scan a given scene of interest. The use of moving parts or mechanical actuators increases the image data acquisition time in mechanically steerable antenna arrays, whereas the presence of phase shift control circuitry and power amplifiers in electronic phased arrays increases system power consumption. To circumvent these problems, metasurface antennas which are capable of illuminating spatially diverse radiation patterns are widely studied in recent years due to its multiplexing nature, less power consumption, planar and compact architecture, and fast image acquisition time. The illumination of a target with diverse radiation patterns reduces the number of measurement modes, while it increases the complexity of image reconstruction algorithm. But the advanced signal-processing capabilities of the modern high-performance computers make the image processing practical in real-time applications. Therefore, these metasurface antennas provide a cost-effective imaging solution. The various metamaterial-frequency-selective surfaces-based antennas described in this chapter have promising applications in security screening at airports, medical image screening, through wall imaging, nondestructive evaluation of construction structures, etc." @default.
• W4313407163 created "2023-01-06" @default.
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• W4313407163 date "2022-01-01" @default.
• W4313407163 modified "2023-09-25" @default.
• W4313407163 title "Metamaterial-FSS Antenna for Microwave Image Sensing" @default.
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• W4313407163 doi "https://doi.org/10.1007/978-981-16-6441-0_18" @default.
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