Browsing by Author "Yapici, A. Cagri"

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    Conference Object
    An Algorithm for Passive Rfid Based Location Estimation
    (Ieee, 2014) Ozyurt, Erdem; Aydin, Elif; Yapici, A. Cagri; Department of Electrical & Electronics Engineering; 15. Graduate School of Natural and Applied Sciences; 01. Atılım University
    In this study, an indoor localization system is developed for the mobile robots. The localization system consists of a passive RFID tag and a reader. The passive RFID tag is placed on the robot and reader antennas are spatially dispersed into the room. For the localization, Selective Adaptive Weighted Centroid Localization (SAWCL) algorithm is used. Performance of the localization system is evaluated for the different tags.
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    Article
    Citation - WoS: 12
    Citation - Scopus: 20
    Artificial Neural Network Channel Estimation Based on Levenberg-Marquardt for Ofdm Systems
    (Springer, 2009) Ciflikli, Cebrail; Ozsahin, A. Tuncay; Yapici, A. Cagri; 01. Atılım University
    The many advantages responsible for the widespread application of orthogonal frequency division multiplexing (OFDM) systems are limited by the multipath fading. In OFDM systems, channel estimation is carried out by transmitting pilot symbols generally. In this paper, we propose an artificial neural network (ANN) channel estimation technique based on levenberg-marquardt training algorithm as an alternative to pilot based channel estimation technique for OFDM systems over Rayleigh fading channels. In proposed technique, there are no pilot symbols which added to OFDM. Therefore, this technique is more bandwidth efficient compared to pilot-based channel estimation techniques. Also, this technique is making full use of the learning property of neural network. By using this feature, there is no need of any matrix computation and the proposed technique is less complex than the pilot based techniques. Simulation results show that ANN based channel estimator gives better results compared to the pilot based channel estimator for OFDM systems over Rayleigh fading channel.