A genetic algorithm and local search technique for minimization of monopole coupling on aircraft by physical antenna placement

Koper, E.M.; Wood, William D.; Schneider, Stephen W.; Baldwin, Rusty O.; Hill, R.R.

doi:10.1109/aps.2002.1016098

Cited by 1 publication

(2 citation statements)

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“…Johnson et al [10] and Haupt et al [11] have shown that GAs can be used effectively to optimise antenna array problems. Koper et al [5,12] demonstrate that a GA can be used successfully in siting antennas on complex surfaces by optimizing the mutual coupling of co-located antenna systems. Aydemir et al [6] further show the use of GA in antenna mutual coupling optimisation when placing RF systems on an aircraft.…”

Section: Use Of Optimisation Tools In Aerospace and Electromagnetic P...mentioning

confidence: 99%

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Multiple objective optimisation for antenna diversity on airborne platforms

Emmett

Flint

Seager

2022

IET Science Measure & Tech

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Vehicles such as automobiles, ships, satellites, and aircraft have a limited amount of physical space to install antennas for communications and navigation systems. This is exacerbated by the use of modern materials, like carbon fibre, and that large areas of the vehicles structure cannot be used to mount antenna, due to aerodynamic or other requirements. Therefore, it is necessary to be able to quickly and accurately find the optimum locations to mount a number of antenna systems, in a restricted space, whilst considering a number of different and sometimes contradictory antenna performance parameters. Thus, defining the optimum antenna locations is a multi-objective problem (MOP) and lends itself to the use of multi-objective evolutionary algorithms (MOEA). This paper presents a MOEA methodology that can be used to accurately, quickly, and robustly define the antenna locations. It will also define an appropriate MOEA and the fitness functions for predicting the radio frequency (RF) interoperability/mutual coupling between antenna systems and antenna RF radiation pattern installed performance.

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Section: Use Of Optimisation Tools In Aerospace and Electromagnetic P...mentioning

confidence: 99%

“…Koper et al. [5, 12] demonstrate that a GA can be used successfully in siting antennas on complex surfaces by optimizing the mutual coupling of co‐located antenna systems. Aydemir et al.…”

Section: Evolutionary Algorithmsmentioning

confidence: 99%