Browsing by Author "Görçin, Ali"
Now showing items 1-12 of 12
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Compressed spectrum sensing using sparse recovery convergence patterns through machine learning classification
Nazzal, Mahmoud; Hasekioǧlu, Orkun; Ekti, Ali Rıza; Görçin, Ali; Arslan, Hüseyin (Institute of Electrical and Electronics Engineers Inc., 2019)Despite the well-known success of sub-Nyquist sampling in reducing the hardware and computational costs of spectrum sensing, it still has the shortcoming of requiring a pre-determined spectrum sparsity level. This paper ... -
Detection, identification, and direction of arrival estimation of drone FHSS signals with uniform linear antenna array
Kaplan, Batuhan; Kahraman, İbrahim; Ekti, Ali Rıza; Yarkan, Serhan; Görçin, Ali; Özdemir, Mehmet Kemal; Çırpan, Hakan Ali (IEEE - Institute of Electrical and Electronics Engineers, Inc, 2021)Safety, security, and privacy are three critical concerns affiliated with the use of drones in everyday life. Considering their ever-shrinking sizes and capabilities, being aware of drone activities in the vicinity becomes ... -
Dictionary learning-based beamspace channel estimation in millimeter-wave massive mimo systems with a lens antenna array
Nazzal, Mahmoud; Aygül, Mehmet Ali; Görçin, Ali; Arslan, Hüseyin (Institute of Electrical and Electronics Engineers Inc., 2019)Recent research considers the application of a lens antenna array in order to provide efficient beam selection in beamspace massive MIMO. Achieving the advantages of this beam selection paradigm requires efficient channel ... -
Exploiting sparsity recovery for compressive spectrum sensing: A machine learning approach
Nazzal, Mahmoud; Ekti, Ali Rıza; Görçin, Ali; Arslan, Hüseyin (Institute of Electrical and Electronics Engineers Inc., 2019)Sub-Nyquist sampling for spectrum sensing has the advantages of reducing the sampling and computational complexity burdens. However, determining the sparsity of the underlying spectrum is still a challenging issue for this ... -
Measurement based statistical channel characterization of air-to-ground path loss model at 446MHz for narrow-band signals in low altitude UAVs
Ede, Burak; Yarkan, Serhan; Ekti, Ali Rıza; Baykaş, Tunçer; Çırpan, Hakan Ali; Görçin, Ali (IEEE-Institute of Electrical and Electronics Engineers Inc, 2020)Powered by the advances in microelectronics technologies, unmanned aerial vehicles (UAVs) provide a vast variety of services ranging from surveillance to delivery in both military and civilian domains. It is clear that a ... -
An OFDM signal identification method for wireless communications systems
Görçin, Ali; Arslan, Hüseyin (Institute of Electrical and Electronics Engineers, 2015)Distinction of orthogonal frequency-division multiplexing (OFDM) signals from single-carrier signals is highly important for adaptive receiver algorithms and signal identification applications. OFDM signals exhibit Gaussian ... -
Signal identification for adaptive spectrum hyperspace access in wireless communications systems
Görçin, Ali; Arslan, Hüseyin (The Institute of Electrical and Electronics Engineers (IEEE), 2014)Technologies that will lead to adaptive, intelligent, and aware wireless communications systems are expected to offer solutions to the capacity, interference, and reliability problems of wireless networks. The spectrum ... -
Sparse coding for transform domain-based sparse OFDM channel estimation
Nazzal, Mamoud; Aygül, Mehmet Ali; Görçin, Ali; Arslan, Hüseyin (IEEE-Inst Electrical Electronics Engineering Inc, 2019)In orthogonal frequency division multiplexing (OFDM) systems, frequency domain pilot-aided channel estimation is based on interpolating a down-sampled version of the channel frequency response. This is achieved by transforming ... -
Spectrum occupancy prediction exploiting time and frequency correlations through 2D-LSTM
Aygül, Mehmet Ali; Nazzal, Mahmoud; Ekti, Ali Rıza; Görçin, Ali; da Costa, Daniel Benevides; Ateş, Hasan Fehmi; Arslan, Hüseyin (Institute of Electrical and Electronics Engineers Inc., 2020)The identification of spectrum opportunities is a pivotal requirement for efficient spectrum utilization in cognitive radio systems. Spectrum prediction offers a convenient means for revealing such opportunities based on ... -
Statistical channel modeling for short range line-of-sight terahertz communication
Tekbıyık, Kürşat; Ulusoy, Emre; Ekti, Ali Rıza; Yarkan, Serhan; Baykaş, Tuncer; Görçin, Ali; Karabulut Kurt, Güneş (Institute of Electrical and Electronics Engineers Inc., 2019)Underutilized spectrum constitutes a major concern in wireless communications especially in the presence of legacy systems and the prolific need for high-capacity applications as well as consumer expectations. From this ... -
Statistical modeling of propagation channels for Terahertz band
Ekti, Ali Rıza; Boyacı, Ali; Alparslan, Altan; Ünal, İlhami; Yarkan, Serhan; Görçin, Ali; Arslan, Hüseyin; Uysal, Murat (Institute of Electrical and Electronics Engineers Inc., 2017)Digital revolution and recent advances in telecommunications technology enable to design communication systems which operate within the regions close to the theoretical capacity limits. Ever-increasing demand for wireless ... -
A two-antenna single RF front-end DOA estimation system for wireless communications signals
Görçin, Ali; Arslan, Hüseyin (Institute of Electrical and Electronics Engineers, 2014)Both adaptive beamforming methods and interference management systems improve the capacity of wireless communications systems, however they may require direction of arrival (DOA) information of signals. On the other hand, ...
