The pattern calibration of phased array antennas via the implementation of genetic algorithm with measurement system

Chou, Hsi‐Tseng; Cheng, Dun-Yuan; Chen, Nan-Wei

doi:10.1109/usnc-ursi.2016.7588523

Cited by 3 publications

(1 citation statement)

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“…It can also be applied to antennas. Chou et al (2016) implemented a genetic algorithm in the antenna structure measurement system to optimize them, radiating the directional beam in the desired direction. The actual outputs of the phase shifters are fashionable, so they can be used to optimize the pattern in real-time, without the need to measure the phase changes of all phase shifters.…”

Section: Related Workmentioning

confidence: 99%

Ziwi: indoor and outdoor planning network—framework to collection, modeling and network structure based on computational optimization and measurements

et al. 2022

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Society is increasingly connected, utilizing more data that demands greater capacity and better channel quality. Furthermore, wireless networks are being inserted into the population's daily lives. Therefore, solutions capable of transferring a high volume of data are increasingly needed. In this context, we present a framework that aims to network planning through data collection, modeling, and routers optimization in the environment. Ziwi framework can simulate wireless networks in indoor and outdoor environments with the main classical propagation models, obtain and calculate metrics and performance parameters. It is possible to measure data by cell phone and send it to the website quickly. Furthermore, it can model the data and compare with different propagation models. Also, optimize them using a genetic algorithm or permutation, choosing whether or not to consider sockets to turn on the routers and how many routers are needed to place in the environment. In addition, have a virtual reality environment aiming at greater interactivity with the data. We analyzed framework results comparing with Close-In propagation model, free space model, and statically using the root mean square error metric. Measurements were made in a real environment using the Ziwi mobile application, inserting data captured on Ziwi website to validate the framework.

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Section: Related Workmentioning

confidence: 99%