A TSK Fuzzy Approach to Channel Estimation for 802.11a WLANs

  • Laura Ivanciu
  • Ligia Chira Cremene
  • Gabriel Oltean
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 151)


The paper presents the performance analysis of a Takagi–Sugeno–Kang (TSK) channel estimator integrated in a complex, OFDM-based system—the IEEE WLAN 802.11a transmit-receive chain. The main goal is to see to what extent may fuzzy logic tools be integrated into end-to-end wireless transmission chains and to asses their performance. The fuzzy channel estimation solution was tested with monitoring of overall transmission parameters such as: packet error rate (PER), signal-to-noise ratio (SNR), and bit rate. Considering the fact that the fuzzy solution was integrated in a complex end-to-end transmission chain, the results may be seen as satisfactory and encouraging. The exploring nature of this implementation makes it a starting point for evaluating the opportunity and benefits of integrating fuzzy logic techniques in complex wireless transmission systems.



This paper was supported by the project “Develop and support multidisciplinary postdoctoral programs in primordial technical areas of national strategy of the research—development—innovation” 4D-POSTDOC, contract no. POSDRU/89/1.5/S/52603, project co-funded from European Social Fund through Sectorial Operational Program Human Resources 2007-2013.

The presentation of this work was supported by CNCSIS–UEFISCDI, PD project 637/2010.


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Copyright information

© Springer Science+Business Media New York 2013

Authors and Affiliations

  • Laura Ivanciu
    • 1
  • Ligia Chira Cremene
    • 1
  • Gabriel Oltean
    • 1
  1. 1.Technical University of Cluj-NapocaCluj-NapocaRomania

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