Browsing Scopus İndeksli Yayınlar Koleksiyonu by Author "Cirpan, Hakan Ali"
Now showing items 1-15 of 15
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Bayesian Compressive Sensing For Primary User Detection
Başaran, Mehmet; Erküçük, Serhat; Cirpan, Hakan Ali (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 ... -
Bayesian compressive sensing for ultra-wideband channel models
Ozgor, Mehmet; Erküçük, Serhat; Cirpan, Hakan Ali (IEEE, 2012)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 ... -
Compressive sensing for ultra-wideband channel estimation: on the sparsity assumption of ultra-wideband channels
Başaran, Mehmet; Erküçük, Serhat; Cirpan, Hakan Ali (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
Buyuksar, Ayse Betul; Şenol, Habib; Erküçük, Serhat; Cirpan, Hakan Ali (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 ... -
The effect of channel resolution on compressed sensing based Ultra-Wideband channel estimation [Kanal çözünürlü?ünün sıkıştırılmış algılama tabanlı ultra geni?ş bantlı kanal kesti?ri?mi?ne etki?si?]
Ultra short pulses are transmitted in Ultra-Wideband (UWB) communications. As a result of this pulses at the receiver can be resolved individually due to the sparse structure of the channel. Due to these properties the UWB ... -
The Effect of Primary User Bandwidth on Bayesian Compressive Sensing Based Spectrum Sensing
Başaran, Mehmet; Erküçük, Serhat; Cirpan, Hakan Ali (IEEE Computer Society, 2016)The application of compressive sensing (CS) theory has found great interest in wideband spectrum sensing. Although most studies have considered perfect reconstruction of the primary user signal it is actually more important ... -
EM-MAP based initialization of PIC receiver for downlink MC-CDMA systems
Doğan, Hakan; Cirpan, Hakan Ali; Panayırcı, Erdal (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
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 joint data detection and channel estimation for uplink MC-CDMA systems in the presence of frequency selective channels
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 ... -
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 ... -
Monte Carlo Solutions for Blind Phase Noise Estimation
Simoens, Frederik; Duyck, Dieter; Cirpan, Hakan Ali; Panayırcı, Erdal; Moeneclaey, Marc (Springer International Publishing Ag, 2009)This paper investigates the use of Monte Carlo sampling methods for phase noise estimation on additive white Gaussian noise (AWGN) channels. The main contributions of the paper are (i) the development of a Monte Carlo ... -
Near field parameter estimation of moving sources with recursive expectation maximization algorithm [Yinelemeli beklenti/en büyükleme algoritması ile hareketli kaynakların yakın-alan parametrelerinin kestirimi]
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 ... -
Pilot-aided bayesian MMSE channel estimation for OFDM systems: Algorithm and performance analysis
This paper proposes a computationally efficient pilot-aided minimum mean square error (MMSE) channel estimation algorithm for OFDM systems. The proposed approach employs a convenient representation of the discrete multipath ... -
Rapidly Varying Sparse Channel Tracking with Hybrid Kalman-OMP Algorithm
Büyükşar, Ayşe Betül; Şenol, Habib; Erküçük, Serhat; Cirpan, Hakan Ali (Springer, 2019)It is expected from future communication standards that channel estimation algorithms should be able to operate over very fast varying frequency selective channel models. Therefore in this study autoregressive (AR) modeled ... -
Support vector machines based target tracking techniques [Destek vektör makineleri tabanlı hedef takip yöntemleri]
Özer, Sedat; Cirpan, Hakan Ali; Kabaoğlu, Nihat (2006)This paper addresses the problem of aplying powerful statistical pattern classification algorithms based on kernels to target tracking. Rather than directly adapting a recognizer we develop a localizer directly using the ...