Computational Imaging Using Frequency-Diverse Scattering from a Rough Reflector

Autor: Mojtaba Dehmollaian, Ehsan Rashidi Ranjbar
Rok vydání: 2020
Předmět:
Zdroj: 2020 IEEE International Symposium on Antennas and Propagation and North American Radio Science Meeting.
DOI: 10.1109/ieeeconf35879.2020.9330030
Popis: This paper introduces a random rough reflector with walls to produce frequency uncorrelated scattering to image an object. The conducting rough surface, surrounded by 4 walls, resembles an open-ended cavity. First, the scattered fields are computed using the geometrical optics (GO) approximation. Next, the least-squares computational imaging algorithm is implemented and numerical images are computed using 401 frequency samples within the frequency range 2–20 GHz. Finally, the imaging setup is made and measurement is conducted. Both simulated and measured data reveal a clear image of the target. For a one square meter (m2) image, a descent pixel size of about 1/401 m2 (5 cm x 5 cm) is obtained.
Databáze: OpenAIRE