Minimizing the Destructive Effects of Multipath Signal Propagation on Wireless Radio Signal

Gregory N. Onoh; Akaneme, S. A.

doi:10.70878/ijise.2022.edc209c3

Minimizing the Destructive Effects of Multipath Signal Propagation on Wireless Radio Signal

Authors: Gregory N. Onoh, Akaneme, S. A.

Journal: International Journal of Information Science and Engineering (IJISE), ISSN 1694-4496‬

Citation: IJISE 6(2), 2022-10-15.

DOI: 10.70878/ijise.2022.edc209c3

PDF: Download full-text PDF

Type: Original Research

Abstract

Signals transmitted through wireless mobile channels suffer from fading, signal dispersion and distortion resulting in communication errors such as inter symbol interference. The atmospheric layers and obstructions have a significant effect on the behavior of signals as they propagate within the channel. This research was aimed at determining an efficient adaptive equalization method that can minimize the destructive effects of multipath signals in a wireless communication system. To achieve this objective, a Raleigh fading channel model was developed and an adaptive algorithm that mimics the desired filter by finding the filter coefficients that produce the least mean square of the error signal was also developed. The source recovery error was used to define a performance or cost function that corrects the effect of delay to recover the main source information. The decision-directed and dispersion minimization algorithms were developed to minimize the communication errors resulting from the multipath signal. effects. Both adaptive equalization methods had a great ripple reduction but the decision-directed equalizer has a very fast convergence speed, greater steady-state error and scored optimal values that are within the MSE value of 10^(-2) as compared to dispersion minimization equalizer

Keywords

Multipath Signal Propagation, Adaptive Equalizer, Decision-Directed Algorithm, Dispersion Minimization Algorithm Authorship: Onoh, S. A. | FULL PDF

Published by Academic Ink Review Journal. Open Access under CC BY 4.0.