Literature DB >> 33335162

Frequency-diverse multimode millimetre-wave constant-ϵr lens-loaded cavity.

M A B Abbasi1, V F Fusco2, O Yurduseven2, T Fromenteze3.   

Abstract

This paper presents a physical frequency-diverse multimode lens-loaded cavity, designed and used for the purpose of the direction of arrival (DoA) estimation in millimetre-wave frequency bands for 5G and beyond. The multi-mode mechanism is realized using an electrically-large cavity, generating spatio-temporally incoherent radiation masks leveraging the frequency-diversity principle. It has been shown for the first time that by placing a spherical constant dielectric lens (constant-ϵr) in front of the radiating aperture of the cavity, the spatial incoherence of the radiation modes can be enhanced. The lens-loaded cavity requires only a single lens and output port, making the hardware development much simpler and cost-effective compared to conventional DoA estimators where multiple antennas and receivers are classically required. Using the lens-loaded architecture, an increase of up to 6 dB is achieved in the peak gain of the synthesized quasi-random sampling bases from the frequency-diverse cavity. Despite the fact that the practical frequency-diverse cavity uses a limited subset of quasi-orthogonal modes below the upper bound limit of the number of theoretical modes, it is shown that the proposed lens-loaded cavity is capable of accurate DoA estimation. This is achieved thanks to the sufficient orthogonality of the leveraged modes and to the presence of the spherical constant-ϵr lens which increases the signal-to-noise ratio (SNR) of the received signal. Experimental results are shown to verify the proposed approach.

Entities:  

Year:  2020        PMID: 33335162     DOI: 10.1038/s41598-020-78964-1

Source DB:  PubMed          Journal:  Sci Rep        ISSN: 2045-2322            Impact factor:   4.379


  3 in total

1.  Implementation of Resonant Electric Based Metamaterials for Electromagnetic Wave Manipulation at Microwave Frequencies.

Authors:  Stylianos D Assimonis; Sandhya Chandravanshi; Okan Yurduseven; Dmitry Zelenchuk; Oleksandr Malyuskin; Muhammad Ali Babar Abbasi; Vincent Fusco; Simon L Cotton
Journal:  Sensors (Basel)       Date:  2021-12-18       Impact factor: 3.576

2.  Machine learning-assisted lens-loaded cavity response optimization for improved direction-of-arrival estimation.

Authors:  Muhammad Ali Babar Abbasi; Mobayode O Akinsolu; Bo Liu; Okan Yurduseven; Vincent F Fusco; Muhammad Ali Imran
Journal:  Sci Rep       Date:  2022-05-20       Impact factor: 4.996

3.  Single-pixel polarimetric direction of arrival estimation using programmable coding metasurface aperture.

Authors:  The Viet Hoang; Vincent Fusco; Muhammad Ali Babar Abbasi; Okan Yurduseven
Journal:  Sci Rep       Date:  2021-12-13       Impact factor: 4.379

  3 in total

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