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1. Karhu, V.-M. (Veli-Matti). Simplifying the radiation pattern modeling and considering the mutual coupling in linear dipole antenna arrays.

Degree: 2018, University of Oulu

URL: http://urn.fi/URN:NBN:fi:oulu-201803031294

Abstract This thesis presents a method for modeling the mutual coupling between antenna elements mathematically and investigate the impact of the coupling on radiation patterns in linear half-wave dipole antenna arrays. A method developed in this thesis aims at saving simulation time and achieve accurate theoretical radiation patterns, which include the impact of the mutual coupling. Utilizing the method is especially advantageous during the initial stages of the antenna array designing when the coupling between elements is examined. Mutual coupling parameters formed for various scenarios are utilized in radiation pattern calculations. These parameters are necessary for the mutual coupling consideration. Also, linear arrays utilize some simplifications for faster calculations. The array simplification is done by dividing array’s antenna elements to edge elements, near-edge elements and middle elements. It is also assumed that middle elements contain similar radiation patterns with each other. Therefore, radiation patterns of N-element linear arrays can be represented by classifying antenna elements into these three groups. The proposed method is based on theoretical mutual coupling equations, which are assisted by the simulated data. The proposed method provides equations for various mutual coupling parameters that linked phase differences and amount of coupling to simple radiation pattern equations, in which the mutual coupling is not considered. The thesis examines especially dipole antenna arrays utilizing the element distances from 0.5 to 0.8 wavelengths. Antenna elements are also rotated around their centers whilst the ground plane is stable, since practical antenna elements couple with each other at different angles. This impacts their current distribution. Additionally, several prototypes are simulated, constructed and measured to prove the functionality of the proposed method. Multiple half-wave dipole antenna arrays are simulated for 3.5 GHz. Their element distances and configurations vary for acquiring versatile results. Mathematical models presented in this thesis can model the impact of the mutual coupling in radiation patterns but last side lobes might have slight offsets when compared to realistic.

Lineaaristen dipoli-antenniryhmien säteilykuvioiden mallintamisen yksinkertaistaminen ja keskinäiskytkennän huomiointi Tiivistelmä Tässä diplomityössä esitellään keino mallintaa matemaattisesti lineaarisen puoliaaltodipoleista koostuvan antenniryhmän elementtien välisen kytkeytymisen vaikutus niiden säteilykuvioihin. Työssä…

Subjects/Keywords: Electrical Engineering

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APA (6^{th} Edition):

Karhu, V. -. (. (2018). Simplifying the radiation pattern modeling and considering the mutual coupling in linear dipole antenna arrays. (Masters Thesis). University of Oulu. Retrieved from http://urn.fi/URN:NBN:fi:oulu-201803031294

Chicago Manual of Style (16^{th} Edition):

Karhu, V -M (Veli-Matti). “Simplifying the radiation pattern modeling and considering the mutual coupling in linear dipole antenna arrays.” 2018. Masters Thesis, University of Oulu. Accessed March 24, 2018. http://urn.fi/URN:NBN:fi:oulu-201803031294.

MLA Handbook (7^{th} Edition):

Karhu, V -M (Veli-Matti). “Simplifying the radiation pattern modeling and considering the mutual coupling in linear dipole antenna arrays.” 2018. Web. 24 Mar 2018.

Vancouver:

Karhu V-(. Simplifying the radiation pattern modeling and considering the mutual coupling in linear dipole antenna arrays. [Internet] [Masters thesis]. University of Oulu; 2018. [cited 2018 Mar 24]. Available from: http://urn.fi/URN:NBN:fi:oulu-201803031294.

Council of Science Editors:

Karhu V-(. Simplifying the radiation pattern modeling and considering the mutual coupling in linear dipole antenna arrays. [Masters Thesis]. University of Oulu; 2018. Available from: http://urn.fi/URN:NBN:fi:oulu-201803031294