2018/06/02 by Ali Molaei, Juan Heredia‐Juesas, Molaei, Ali +7
Engineering · Materials Science · Physics and Astronomy · #Advanced Antenna and Metasurface Technologies #Applied Physics (physics.app-ph) #Classical Physics (physics.class-ph) #Electromagnetic Scattering and Analysis #FOS: Physical sciences #Metamaterials and Metasurfaces Applications #Microwave Imaging and Scattering Analysis
paper · pdf · doi:10.48550/arxiv.1806.06934
openalex publication_date 2018/06/02 · openalex created_date 2022/10/03 · openalex updated_date 2026/07/28
Conventional multistatic radar systems using microwave and millimeter-wave\n(mm-wave) frequencies seek to reconstruct the target in the imaging domain,\nemploying many transmitting and receiving antenna elements. These systems are\nsuboptimal, in that they do not take into consideration the large mutual\ninformation existing between the measurements. This work reports a new mm-wave\nradar system for high sensing capacity applications. The system is composed of\na Compressive Reflector Antenna (CRA), whose surface is specially tailored by\ndigitized Metamaterial Absorbers (MMAs). The MMA elements are designed to have\na highly frequency-dispersive response in the operating band of the radar. This\nenables the CRA to create highly uncorrelated spatial and spectral codes in the\nimaging region. A semi-analytic method based on Drude-Lorentz model is used to\napproximate the reflection response of the MMAs. The performance of the\ndeveloped radar system is evaluated in active mm-wave sensing systems by\nimaging PEC scatterers and an extended human-size model in the near-field of\nthe radar. A computational method based on physical optics is established for\nsolving the numerical examples. For reconstructing the image using compressive\nsensing techniques, a norm-1 regularized iterative algorithm based on the\nAlternating Direction Method of Multipliers (ADMM) and a Nesterov-based\nalgorithm (NESTA) were applied.\n