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

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

使用动态可重构超表面孔径进行频率选择性计算穿墙成像

DOI:
--
复制
发表时间:
2022
影响因子:
4
通讯作者:
O. Yurduseven
O. Yurduseven
中科院分区:
--
文献类型:
--
作者:
T. V. Hoang;Rupesh Kumar;T. Fromenteze;M. García;G. Álvarez;V. Fusco;O. Yurduseven

文献摘要

被引文献

相似文献

提出了一种二维(2D)动态可重构超表面孔径,用于对未知的墙壁结构进行频率选择性穿墙成像(TWI)。一般来说,在TWI中,需要提前知道介质特性和壁厚,但这并不总是可能的。此外,补偿这些影响会显着增加计算复杂性。我们提出了一种两阶段方法,该方法利用窄频带中动态可重构超表面天线(DMA)的概念,其中墙壁的影响最小以执行 TWI。首先,使用两个简单的探针天线通过简单的反向散射测量来评估墙壁的反射响应。基于这些特性,识别出窄带频率选择窗口。其次,由可调谐超材料元件阵列组成的 DMA 用于在确定的频率选择窗口中进行 TWI。 DMA 孔径使得能够使用单通道发送和接收架构通过一组时空变化的准随机模式对场景信息进行采样。这种物理层压缩方案可以显着简化数据采集,同时场景信息的准随机采样消除了对传统光栅扫描模式的需求。
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 (DMA) in a narrow frequency band in which the effects of the wall are minimum to perform TWI. First, two simple probe antennas are used to evaluate the reflection response of the wall by means of a simple backscatter measurement. Based on these characteristics, a narrow band frequency selective window is identified. Second, a DMA consisting of an array of tunable metamaterial elements is used for TWI in the identified frequency selective window. The DMA aperture enables the scene information to be sampled through a set of spatio-temporally varying quasi-random modes using a single-channel transmit and receive architecture. This physical-layer compression scheme can significantly simplify the data acquisition while the quasi-random sampling of the scene information eliminates the need for conventional raster-scan based modalities.