Multirate Adaptive Equalization

Muhammad Yasir Siddique Anjum, Muhammad Ali Raza Anjum and Usman Riaz
Additional contact information
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

International Journal of Innovations in Science & Technology, 2022, vol. 3, issue 5, 119-125

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.

Keywords: adaptive; filter; ISI; multirate; equalization (search for similar items in EconPapers)
Date: 2022
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
https://journal.50sea.com/index.php/IJIST/article/view/114/593 (application/pdf)
https://journal.50sea.com/index.php/IJIST/article/view/114 (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:abq:ijist1:v:3:y:2022:i:5:p:119-125

DOI: 10.33411/IJIST/2021030509

Access Statistics for this article

International Journal of Innovations in Science & Technology is currently edited by Prof. Dr. Veraldo Lisenberg, Prof Dr. Ali Iqtedar Mirza

More articles in International Journal of Innovations in Science & Technology from 50sea
Bibliographic data for series maintained by Hafiz Haroon Ahmad, Iqra Nazeer ().