Radiation efficiency of an individual antenna in a system of multiple non-identical antennas

Silva, Supun De; Belostotski, Leonid; Okoniewski, M.

doi:10.23919/ursigass.2017.8105096

Cited by 2 publications

(2 citation statements)

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“…We then use the measured 2-port S-parameters of each antenna (see Section II) and the measured matrix S VNA and (1) and (2) to solve for the elements of S Mu using numerical methods. Examples of using this methods for arrays of two antennas was presented by the authors in [35], [36] and briefly discussed next.…”

Section: A Primary Methods Of Finding S Mumentioning

confidence: 99%

“…Current literature supports modeling a single antenna using a two-port network S-parameters, which is explained in Section II. However, currently there seems to be no published work, apart from the authors' short explorations on this subject [35], [36], available on the network representation of an antenna array, which include all ports: physically accessible ports and the ports associated with the free space. This article attempts to fill this research gap.…”

Section: Introductionmentioning

confidence: 99%

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Antenna-Array Network Model

Silva

Okoniewski

Belostotski

2020

IEEE Trans. Antennas Propagat.

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An antenna can be modeled as a two-port network using S-parameters. However, having individual antenna Sparameters is not sufficient for modeling an array of antennas as antennas exhibit mutual coupling. This article proposes a network model to represent an antenna array with mutual coupling. Using the proposed model, an N-element antenna array is modeled as a combination of two-port networks representing each element and an N-port network representing mutual coupling. Two techniques to calculate mutual coupling S-parameters are presented: a primary method using numerical solutions and an approximate method using approximate expressions. The proposed model was validated using four monopole arrays having different interelement spacings, the number of elements, and non-identical antennas.

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Section: A Primary Methods Of Finding S Mumentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%