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Multirate Adaptive Equalization

Author

Listed:
  • Muhammad Yasir Siddique Anjum

    (National University of Modern Languages, Pakistan.)

  • Muhammad Ali Raza Anjum

    (Army Public College of Management and Sciences, Pakistan)

  • Usman Riaz

    (Centre for Advanced Studies in Engineering, Pakistan)

Abstract

Finite Impulse Response (FIR) filter model emulates the Inter Symbol Interference (ISI) in a wireless communication channel. An equalizer, typically an Infinite Impulse Response (IIR) filter, behaves as an inverse filter to the FIR filter to remove the effects of the ISI. IIR filters are generally avoided due to tractability issues, and an FIR filter, with an adaptive signal processing algorithm to minimize the error due to the ISI, is deployed at the receiver. However, the filter is observed to quickly reach a steady state where further iterations do not yield a reduction in the error. This can be attributed to relatively slow variations in the steady state error which prevent further reduction of the errors. This work focuses on converting the low frequency error variations to high frequency variations by the use of multirate signal processing. As such, the steady state error can be damped as well, providing further reduction in the error and an enhanced adaptive filter performance.

Suggested Citation

  • Muhammad Yasir Siddique Anjum & Muhammad Ali Raza Anjum & Usman Riaz, 2022. "Multirate Adaptive Equalization," International Journal of Innovations in Science & Technology, 50sea, vol. 3(5), pages 119-125, January.
    • Handle: RePEc:abq:ijist1:v:3:y:2022:i:5:p:119-125
    DOI: https://doi.org/10.33411/IJIST/2021030509
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    More about this item

    Keywords

    adaptive; filter; ISI; multirate; equalization;
    All these keywords.

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

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