V. Tuzlukov

Kyungpook National University, Daikyū, Daegu, South Korea

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Publications (4)0 Total impact

  • M.R.R. Khan, V. Tuzlukov
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    ABSTRACT: Multipath fading effects and co-channel interference are the main limitations facing wireless communication systems. The problem to enhance the capacity of a code-division multiple-access (CDMA) in wireless communication system can be solved implementing an interference management. Many techniques controlling or suppressing an interference in CDMA wireless communication systems by transmitter and/or receiver, such as the transmit power control, multiuser detection, receiver beamforming, and transmit beamforming have been proposed to date. This paper deals with the possibilities to cancel unwanted signals by steering nulls of the pattern in the direction of arrival (DOA) of the signal while keeping the main beam to desired direction. Here we proposed a null steering beamforming algorithm to suppress co-channel interference in CDMA wireless communication systems that is based on the iterative method. Finally, simulation results confirm our theoretical study and efficacy of the proposed beamforming algorithm for CDMA wireless communication systems.
    Signal Processing and Communication Systems (ICSPCS), 2010 4th International Conference on; 01/2011
  • M.R.R. Khan, V. Tuzlukov
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    ABSTRACT: Antenna array systems are important components of modern radar and wireless communication systems. By controlling the array through a real-time optimization process, the adaptive techniques diminish the impact of system component noise and mitigate the effects of interfering radiation to ensure the delivery of a maximum fidelity signal. This paper deals with the possibilities to cancel unwanted signals by steering nulls of the pattern in the direction of high interference without affecting the main beam. We propose a null steering beamforming algorithm allowing us to suppress the interference based on the genetic algorithm (GA). The method used to calculate the position perturbations of selected elements is based on minimization of the power at the null locations and the power fluctuation in the main beam. The proposed null steering beamforming algorithm and the adaptive null steering method are compared with respect to the initial pattern using complex weights. We find that the proposed null steering beamforming algorithm possesses the better performance. Computer simulation shows the effectiveness of the proposed beamforming algorithm for wireless communication systems.
    Microwave Technology & Computational Electromagnetics (ICMTCE), 2011 IEEE International Conference on; 01/2011
  • M.R.R. Khan, V. Tuzlukov
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    ABSTRACT: Orthogonal frequency-division multiplexing (OFDM) is one of the promising techniques for modern mobile wireless data systems. For OFDM systems with co-channel interference, adaptive beamformer can be used for interference suppression. This paper focuses on a key issue for adaptive beamformer algorithm. In this paper, we have proposed an adaptive beamformer algorithm that based on least square-constant modulus (LS-CM) property of the OFDM signals. The proposed beamformer can effectively suppress co-channel interference. Finally, simulation results confirm the efficacy of the proposed beamforming algorithm for OFDM systems investigated in the present paper.
    Image and Signal Processing (CISP), 2010 3rd International Congress on; 11/2010
  • M. R. R. Khan, Vyacheslav Tuzlukov
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    ABSTRACT: This paper presents the problem of sensor fusion to estimate a walking person position. Simple walking person moving model is introduced. We propose two filtering algorithms to solve the present problem. The first algorithm represents an extended Kalman filter (EKF) model which is based on the principle of the state transition matrix and observation matrix linearization under Taylor series expansions. During walking, several various “walking modes” differ from each other in terms of moving model parameters. This fact is addressed to the second sensor fusion algorithm, namely, the interacting multiple model (IMM) algorithm, which also employes a single EKF for each considered mode, combines the state estimates and covariance matrices.
    01/2010;

Publication Stats

7 Citations

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Institutions

  • 2010
    • Kyungpook National University
      • College of IT Engineering
      Daikyū, Daegu, South Korea