Frequency-diverse bunching metasurface antenna for microwave computational imaging

Mengran Zhao, Shitao Zhu, Die Li, Thomas Fromenteze, Mohsen Khalily, Xiaoming Chen, Vincent Fusco, Okan Yurduseven

Research output: Contribution to journalArticlepeer-review

8 Citations (Scopus)
65 Downloads (Pure)

Abstract

A frequency-diverse bunching metasurface antenna(FDBMA) that can be used for microwave computational imaging(MCI) systems is proposed in this paper. The proposed FDBMA can generate low-correlated radiation patterns with a reduced frequency interval of 20 MHz and a bunching angle of 45° from 32to 36 GHz. The frequency interval is reduced by combining a disordered cavity and an optimized frequency-diverse random metasurface. The directivity of the radiation patterns is improved by leveraging the joint-bunching method that combines the metal baffle, the Fresnel dielectric lens, the quasi-gradient random metasurface, and the random-coherent superposition comprehen- sively. The performance of the proposed FDBMA is evaluated in terms of the reflection coefficient, SVD of the sensing matrix, and correlation coefficients of the measurement modes. The reduced frequency interval and the bunching characteristic are also demonstrated. Finally, MCI experiments are implemented using the proposed FDBMA. Comparative experiments are also carried out to validate the advantage of reducing the frequency interval and improving the directivity.
Original languageEnglish
Pages (from-to)3950 - 3961
Number of pages12
JournalIEEE Transactions on Antennas and Propagation
Volume72
Issue number5
Early online date18 Mar 2024
DOIs
Publication statusPublished - 01 May 2024

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