Browsing by Author "Çırpan, Hakan Ali"
Now showing items 21-27 of 27
-
Joint data detection and channel estimation for uplink MC-CDMA systems over frequency selective channels
Panayırcı, Erdal; Doğan, Hakan; Çırpan, Hakan Ali; Fleury, Bernard Henri (Springer, 2007)This paper is concerned with joint channel estimation and data detection for uplink multicarrier code-division multiple-access (MC-CDMA) systems ill the presence of frequency fading channel. The detection and estimation ... -
Linear expansions for frequency selective channels in OFDM
Şenol, Hande; Çırpan, Hakan Ali; Panayırcı, Erdal (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 ... -
A low-complexity time-domain MMSE channel estimator for space-time/frequency block-coded OFDM systems
Şenol, Habib; Çırpan, Hakan Ali; Panayırcı, Erdal (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 ... -
MAP channel-estimation-based PIC receiver for downlink MC-CDMA systems
Doğan, Hakan; Panayırcı, Erdal; Çırpan, Hakan Ali; Fleury, Bernard Henri (Hindawi Publishing Corporation, 2008)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 multicarrier (MC) code division multiple ... -
Support vector machines based target tracking techniques
Özer, Sedat; Çırpan, Hakan Ali; Kabaoğlu, Nihat (IEEE, 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 ... -
Support vector regression for surveillance purposes
Özer, Sedat; Çırpan, Hakan Ali; Kabaoğlu, Nihat (Springer-Verlag Berlin, 2006)This paper addresses the problem of applying powerful statistical pattern classification algorithm based on kernel functions to target tracking on surveillance systems. Rather than directly adapting a recognizer we develop ... -
Unconditional maximum likelihood approach for localization of near-field sources in 3-D space
Kabaoğlu, Nihat; Çırpan, Hakan Ali; Paker, Selçuk (IEEE, 2004)Since maximum likelihood (ML) approaches have better resolution performance than the conventional localization methods in the presence of less number and highly correlated source signal samples and low signal to noise ...