Browsing by Author "Cirpan, Hakan Ali"

A low-complexity KL expansion-based channel estimator for OFDM systems

Authors : Şenol, Habib; Cirpan, Hakan Ali; Panayirci, Erdal
Publisher and Date : (2005)

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 ...

A low-complexity time-domain MMSE channel estimator for space-time/frequency block-coded OFDM systems

Authors : Senol, 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 ...

Achievable Performance of Bayesian Compressive Sensing Based Spectrum Sensing

Authors : Basaran, Mehmet; Erkucuk, Serhat; Cirpan, Hakan Ali
Publisher and Date : (IEEE, 2014)

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 ...

Bayesian Compressive Sensing For Primary User Detection

Authors : Basaran, Mehmet; Erkucuk, Serhat; Cirpan, Hakan Ali
Publisher and Date : (Inst Engıneerıng 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 ...

Bayesian compressive sensing for ultra-wideband channel estimation: algorithm and performance analysis

Authors : Ozgor, Mehmet; Erkucuk, Serhat; Cirpan, Hakan Ali
Publisher and Date : (Springer, 2015)

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 ...

Comparison of Compressed Sensing Based Algorithms for Sparse Signal Reconstruction

Authors : Celik, Safa; Basaran, Mehmet; Erkucuk, 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 ...

Compressive sensing for ultra-wideband channel estimation: on the sparsity assumption of ultra-wideband channels

Authors : Basaran, Mehmet; Erkucuk, 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 ...

Data-Aided Autoregressive Sparse Channel Tracking for OFDM Systems

Authors : Buyuksar, Ayse Betul; Senol, Habib; Erkucuk, 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 ...

Effect of Inter-Block-Interference-Free Region on Compressed Sensing Based Channel Estimation in TDS-OFDM Systems

Authors : Basaran, Mehmet; Erkucuk, Serhat; Senol, 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 ...

EM-MAP based initialization of PIC receiver for downlink MC-CDMA systems

Authors : Doğan, Hakan; Cirpan, Hakan Ali; Panayirci, Erdal
Publisher and Date : (IEEE, 2007)

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 ...

Frequency selective fading channel estimation in OFDM systems using KL expansion

Authors : Şenol, Habib; Cirpan, Hakan Ali; Panayirci, Erdal
Publisher and Date : (2005)

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 ...

Iterative channel estimation techniques for uplink MC-CDMA systems

Authors : Dogan, Hakan; Panayirci, Erdal; Cirpan, Hakan Ali
Publisher and Date : (IEEE, 2007)

In this work maximum likelihood (ML) channel estimation for uplink multicarrier code-division multiple-access (MC-CDMA) systems is considered in the presence of frequency fading channel. The expectation-maximization (EM)- ...

Iterative joint data detection and channel estimation for uplink MC-CDMA systems in the presence of frequency selective channels

Authors : Panayirci, Erdal; Dogan, Hakan; Cirpan, Hakan Ali; Kocian, Alexander; Fleury, Bernard Henri
Publisher and Date : (2010)

This paper is concerned with joint multiuser detection and multichannel estimation (JDE) for uplink multicarrier code-division multiple-access (MC-CDMA) systems in the presence of frequency selective channels. The detection ...

Linear expansions for frequency selective channels in OFDM

Authors : Senol, Hande; Cirpan, Hakan Ali; Panayirci, Erdal
Publisher and Date : (ELSEVIER GMBH URBAN & FISCHER VERLAG, 2006)

Modeling the frequency selective fading channels as random processes we employ a linear expansion based on the Karhumen-Loeve (KL) series representation involving a complete set of orthogonal deterministic vectors with a ...

Near field parameter estimation of moving sources with recursive expectation maximization algorithm

Authors : Cekli, Serap; Cekli, Erdinc; Kabaoglu, Nihat; Cirpan, Hakan Ali
Publisher and Date : (IEEE, 2006)

In this paper maximum likelihood (ML) estimator is proposed for the joint estimation of the direction of arrival (DOA) and range parameters of moving sources in the near-field of the antenna array. ML estimation algorithm ...

Near field parameter estimation of moving sources with recursive expectation maximization algorithm [Yinelemeli beklenti/en büyükleme algoritması ile hareketli kaynakların yakın-alan parametrelerinin kestirimi]

Authors : Çekli, Serap; Çekli, Erdinç; Kabaoğlu, Nihat; Cirpan, Hakan Ali
Publisher and Date : (2006)

In this paper maximum likelihood (ML) estimator is proposed for the joint estimation of the direction of arrival (DOA) and range parameters of moving sources in the near-field of the antenna array. ML estimation algorithm ...