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A New Model for Indoor Propagation Prediction Using Genetic Algorithm
(Ieice-inst Electronics information Communications Eng, 2008) Aydin, Elif
In this study, a new, simple and accurate computation of the received signal strength (RSS) level for indoor environment is performed. The genetic algorithm (GA) approach is used for prediction of the RSS. The proposed model is formed on the knowledge of measurements without requiring any detail of the environment. The model provides a time efficient method to estimate RSS dynamically at any location in the test environment. The accuracy of the measurement results and the genetic algorithm approach are presented for three distinct transmitters located at different positions.
Citation - WoS: 9
Citation - Scopus: 10
Modified Resonant Frequency Computation for Tunable Equilateral Triangular Microstrip Patch
(Ieice-inst Electronics information Communications Eng, 2010) Aydin, Elif; Can, Sultan
In this paper, a new closed form expression is developed to accurately estimate the resonant frequency of an equilateral triangular patch. The proposed computation is also extended to the two-layer structure in order to define the air-gap tuning effect on the resonant frequency. The theory established in this paper is compared with the experimental and theoretical results available in the literature. The results of this study show a considerable improvement achieved over the previous theories within very small percentage errors for almost all cases.