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

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, medium properties and thickness need be known advance, which not always possible. Moreover, compensating for these effects can significantly increase computational complexity. We propose a two-stage method that leverages concept antenna (DMA) narrow band are minimum TWI. First, two simple probe antennas used evaluate reflection response by means backscatter measurement. Based on characteristics, window identified. Second, DMA consisting array tunable metamaterial elements TWI identified window. The enables scene information sampled set spatio-temporally varying quasi-random modes using single-channel transmit receive architecture. This physical-layer compression scheme simplify data acquisition while sampling eliminates conventional raster-scan based modalities.