Yalçın Tanık

E-mail
tanik@metu.edu.tr
Department
Department of Electrical and Electronics Engineering
Efficient Range Migration Compensation Method Based on Doppler Ambiguity Shift Transform
Culha, Onur; Tanık, Yalçın (2022-03-01)
Radon-Fourier transform (RFT) is an optimal method for rectilinearly moving targets to overcome range migration with good coherent integration performance in radars. However, it is computationally burdensome because it joi...
Turbo Parametric Spectral Estimation Method of Clutter Profile for Adaptive Radar Detection
Eraslan, Berna; Güvensen, Gökhan Muzaffer; Tanık, Yalçın (2020-06-01)
© 2020 IEEE.Identification of unwanted components of a received echo is critical to improving the radar detection performance. Previously proposed parametric parameter estimation methods, such as MUSIC, ESPRIT, and Burg we...
Low Complexity Keystone Transform and Radon Fourier Transform Utilizing Chirp-Z Transform
Culha, Onur; Tanık, Yalçın (2020-01-01)
Keystone Transform (KT) and Radon Fourier Transform (RFT) are two popular methods proposed to overcome range migration in radars. A major concern in these methods is the computational complexity for real time operations. I...
A Novel Neural Network Architecture for Radar Clutter Classification
Eraslan, Berna; Güvensen, Gökhan Muzaffer; Tanık, Yalçın (2020-01-01)
In recent years, potential capabilities of modern radars have become tremendous, with rapid advances in electronics and software technologies. If the radar system processes received echoes based on clutter characteristics,...
Expectation Maximization-Based Detection in Range-Heterogeneous Weibull Clutter
Doyuran, Ulku Cilek; Tanık, Yalçın (2014-10-01)
The problem of radar target detection in Weibull and range-heterogeneous clutter is considered. The clutter component in each range cell is modeled as an instance of a random variable belonging to one of several Weibull di...
Experimental Evaluation of the Knowledge-Aided Sigma-Delta STAP Algorithm to Improve GMTI Performance
Anadol, Erman; Tanık, Yalçın (2014-06-05)
A novel knowledge-aided processing scheme is proposed for use in Ground Moving Target Indication (GMTI) operation to be operated in real time on airborne SAR/GMTI sensors. The proposed approach is based on the Sigma-Delta ...
A Reduced-State Ungerboeck Type MAP Receiver with Bidirectional Decision Feedback for M-ary Quasi Orthogonal Signaling
Güvensen, Gökhan Muzaffer; Tanık, Yalçın; Yılmaz, Ali Özgür (2014-02-01)
In this paper, we propose a generic receiver based on optimum maximum likelihood sequence estimation (MLSE) employing a generalized Ungerboeck metric with significantly reduced complexity for the general class of M-ary qua...
An efficient ungerboeck type MAP receiver for multi-user channel with M-Ary quasi orthogonal signaling M-Ary yakla̧sik dikgen sinyalleşme ile çoklu erişim için etkin ungerboeck tipinde MAP alicisi
Güvensen, Gökhan Muzaffer; Tanık, Yalçın; Yılmaz, Ali Özgür (2013-08-05)
In this paper, a high performance MAP receiver with significantly reduced complexity is proposed for multiple-access channel with M-ary quasi orthogonal signaling. The proposed architecture operates on the channel and code...
Robust spread spectrum type communication with M-ary quasi orthogonal signaling for wireless fading channels M-ary yaklaşik dikgen sinyalleşme ile yayili spektruma sahip sistemler için etkin telsiz haberleşme
Güvensen, Gökhan Muzaffer; Tanık, Yalçın; Yılmaz, Ali Özgür (2012-07-09)
In this paper, a receiver architecture with reduced complexity is proposed for spread spectrum type communication with M-ary quasi orthogonal signaling. The proposed structure comprises of the channel and code matched filt...
On the Carrier Frequency Offset Estimation for Frequency Hopping Burst Mode Mobile Radio
Güvensen, Gökhan Muzaffer; Tanık, Yalçın; Yılmaz, Ali Özgür (2010-11-03)
In this paper, we evaluate the Cramer-Rao bounds (CRB) for the estimation of the carrier frequency offset (CFO) for general QAM modulations with no knowledge of the transmitted sequence (blind operation) in frequency hoppi...
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