2026-10-14T01:34:56Z https://api.figshare.com/v2/oai

oai:figshare.com:article/32826077 2026-10-01T16:10:56Z portal_1172 item_type_8 month_year_10_2026

Investigation of new paradigms in computational microwave imaging: from aperture design to mode selection techniques Aobo Li (6529154) PUREID: 654938653 Computational microwave imaging metasurface Computational microwave imaging (CMI) offers a promising alternative to conventional synthetic aperture radar (SAR) and phased array systems by employing electromagnetic coding apertures such as metasurface antennas. Instead of mechanical scanning or costly phase-shifter networks, CMI relies on frequency- and spatial-diverse measurement modes that encode scene information into the received signals. High-quality images can then be reconstructed from a reduced number of measurements, lowering both acquisition time and hardware complexity.<br><br>This thesis investigates new paradigms in CMI design with emphasis on aperture architecture, measurement mode optimization, and resolution enhancement. In particular, reflectarray-based metasurface antennas are developed to generate low-correlated radiation patterns, enabling efficient computational imaging. The integration of dual-polarization and frequency diversity further expands the available degrees of freedom, improving image fidelity. Additionally, mode selection strategies are explored to balance reconstruction quality against hardware and computational efficiency.<br><br>The proposed approaches are validated through full-wave simulations and experimental demonstrations. Results confirm that metasurface-based CMI can achieve high-resolution and cost-effective imaging, with strong potential for applications in security screening, non-destructive testing, and related areas. 2026-10-01T16:10:56Z Text Thesis 10.17034/32826077.v1 https://figshare.com/articles/thesis/Investigation_of_new_paradigms_in_computational_microwave_imaging_from_aperture_design_to_mode_selection_techniques/32826077 All Rights Reserved