Browsing by Author "Cirpan, Hakan Ali"
Now showing items 1-20 of 46
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A low-complexity KL expansion-based channel estimator for OFDM systems
This paper first proposes a computationally efficient pilot-aided linear minimum mean square error (MMSE) batch channel estimation algorithm for OFDM systems in unknown wireless fading channels. The proposed approach employs ...
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A low-complexity time-domain MMSE channel estimator for space-time/frequency block-coded OFDM systems
Authors:Şenol, Habib; Cirpan, Hakan Ali; Panayirci, Erdal
Publisher and Date:(Hindawi Publishing Corporation, 2006)Focusing on transmit diversity orthogonal frequency-division multiplexing (OFDM) transmission through frequency-selective channels this paper pursues a channel estimation approach in time domain for both space-frequency ...
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Achievable Performance of Bayesian Compressive Sensing Based Spectrum Sensing
In wideband spectrum sensing compressive sensing approaches have been used at the receiver side to decrease the sampling rate if the wideband signal can be represented as sparse in a given domain. While most studies consider ...
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Advanced signal processing algorithms for wireless communications
Traditional wireless technologies are not well suited to meet the extremely demanding requirements of providing the very high data rates with the ubiquity mobility and portability characteristic of cellular systems. Some ...
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An efficient joint channel estimation and decoding algorithm for turbo-coded space-time orthogonal frequency division multiplexing receivers
Authors:Dogan, Hakan; Cirpan, Hakan Ali; Panayirci, Erdal
Publisher and Date:(Inst Engineering Technology-IET, 2008)The challenging problem in the design of digital receivers of today's and future high-speed high data-rate wireless communication systems is to implement the optimal decoding and channel estimation processes jointly in a ...
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An efficient joint data detection and channel estimation technique for uplink MC-CDMA systems based on SAGE algorithm
Authors:Panayirci, Erdal; Dogan, Hakan; Cirpan, Hakan Ali; Fleury, Bernard Henri
Publisher and Date:(IEEE, 2007)This paper is concerned with joint channel estimation and data detection for uplink multicarrier code-division multiple-access (MC-CDMA) systems in the presence of frequency fading channel. The detection and estimation ...
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Bayesian Compressive Sensing For Primary User Detection
Authors:Başaran, Mehmet; Erküçük, Serhat; Cirpan, Hakan Ali
Publisher and Date:(Inst Engineering Technology-IET, 2016)In compressive sensing (CS)-based spectrum sensing literature most studies consider accurate reconstruction of the primary user signal rather than detection of the signal. Furthermore possible absence of the signal is not ...
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Bayesian compressive sensing for ultra-wideband channel estimation: algorithm and performance analysis
Due to the sparse structure of ultra-wideband (UWB) channels compressive sensing (CS) is suitable for UWB channel estimation. Among various implementations of CS the inclusion of Bayesian framework has shown potential to ...
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Bayesian compressive sensing for ultra-wideband channel models
Considering the sparse structure of ultra-wideband (UWB) channels compressive sensing (CS) is suitable for UWB channel estimation. Among various implementations of CS the inclusion of Bayesian framework has shown potential ...
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Blind-phase noise estimation in OFDM systems by sequential Monte Carlo method
Authors:Panayirci, Erdal; Cirpan, Hakan Ali; Moeneclaey, Marc; Noels, Nele
Publisher and Date:(John Wiley and Sons Ltd, 2006)One of the main drawbacks of orthogonal frequency division multiplexing (OFDM) systems is the phase noise (PN) caused by the oscillator instabilities. Unfortunately due to the PN the most valuable feature namely orthogonality ...
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Channel estimation for MIMO-OFDM systems in fixed broadband wireless applications
Systems employing multiple transmit and receive antennas known as multiple input multiple output (MIMO) systems can be used with OFDM to improve the resistance to channel impairments. Thus the technologies of OFDM and MIMO ...
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Comparison of Compressed Sensing Based Algorithms for Sparse Signal Reconstruction
Authors:Celik, Safa; Başaran, Mehmet; Erküçük, Serhat; Cirpan, Hakan Ali
Publisher and Date:(IEEE, 2016)Compressed sensing theory shows that any signal which is defined as sparse in a given domain can be reconstructed using fewer linear projections instead of using all Nyquist-rate samples. In this paper we investigate basis ...
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Compressive sensing for ultra-wideband channel estimation: on the sparsity assumption of ultra-wideband channels
Authors:Başaran, Mehmet; Erküçük, Serhat; Cirpan, Hakan Ali
Publisher and Date:(Wiley-Blackwell, 2014)Due to the sparse structure of ultra-wideband (UWB) multipath channels there has been a considerable amount of interest in applying the compressive sensing (CS) theory to UWB channel estimation. The main consideration of ...
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Data-Aided Autoregressive Sparse Channel Tracking for OFDM Systems
Authors:Buyuksar, Ayse Betul; Şenol, Habib; Erküçük, Serhat; Cirpan, Hakan Ali
Publisher and Date:(IEEE, 2016)In order to meet future communication system requirements channel estimation over fast fading and frequency selective channels is crucial. In this paper Space Alternated Generalized Expectation Maximization Maximum a ...
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Effect of Inter-Block-Interference-Free Region on Compressed Sensing Based Channel Estimation in TDS-OFDM Systems
Authors:Başaran, Mehmet; Erküçük, Serhat; Şenol, Habib; Cirpan, Hakan Ali
Publisher and Date:(IEEE, 2016)Time domain synchronous orthogonal frequency division multiplexing (TDS-OFDM) is the basis technology for digital television standard (DTV) employed in some countries thanks to its high spectral efficiency when compared ...
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EM based Stochastic maximum likelihood approach for localization of near-field sources in 3-D
Authors:Kabaoǧlu, Nihat; Cirpan, Hakan Ali; Paker, Selçuk
Publisher and Date:(Walter De Gruyter Gmbh, 2004)The goal of this paper is to estimate the locations of unknown sources in 3-D space from the data collected by a 2-D rectangular array. Various studies employing different estimation methods under near-field and far-field ...
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EM-based joint data detection and channel estimation for uplink MC-CDMA systems over frequency selective channels
Authors:Dogan, Hakan; Panayirci, Erdal; Cirpan, Hakan Ali; Fleury, Bernard Henri
Publisher and Date:(IEEE, 2007)This paper is concerned with joint channel estimation and data detection for uplink multicarrier code-division multiple-access (MC-CDMA) systems in the presence of frequency fading channel. The detection and estimation ...
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EM-Based MAP channel estimation and data detection for downlink MCC-CDMA systems
In this work we propose a joint MAP channel estimation and data detection technique based on the Expectation Maximization (EM) method with paralel interference cancelation(PIC) for downlink multi-carrier (MC) code division ...
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EM-MAP based initialization of PIC receiver for downlink MC-CDMA systems
The quality of multiple access interference (MAI) which can be improved by using channel estimation and data estimation of all active users effects considerably the performance of PIC detector. Therefore data and channel ...
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Frequency selective fading channel estimation in OFDM systems using KL expansion
This paper proposes a computationally efficient linear minimum mean square error (MMSE) channel estimation algorithm based on KL series expansion for OFDM systems. Based on such expansion no matrix inversion is required ...