Improving Television Signal Reception under Different Rainfall Conditions using Adaptive Equalizer
Authors: Orji, Hope Ekpereamaka, Omeche, Ambrose
Journal: International Journal of Electrical, Electronics and Communication Engineering (IJEECE), ISSN 3023-3569
Citation: IJEECE 6(1): 17-21, 2025-07-01.
DOI: 10.5281/zenodo.15776178
PDF: Download full-text PDF
Type: Original Research
Abstract
The transmission of an image signal, such as a television signal, through a transmission channel subjects the signal to a variety of disturbances that may alter desired parameters of the signal. A television signal reaching a TV receiver may be unstable due to interference caused by noise and heavy rainfall, which creates poor-quality reception. An adaptive equalizer was used to minimize the errors in the received signal. From the research findings, degradation in television signal reception (called fading) is a result of attenuation by heavy rainfall and other natural phenomena. This work aimed to improve television signal reception under heavy rainfall conditions using an adaptive equalizer. From the results obtained, the equalizer minimizes the error by altering its filter coefficients with an average result of 0.1 at step sizes of 0.01, 0.5, and 0.1 with the equalizer against 0.3 without the equalizer.
Keywords
Rainfall Conditions, Signal Receptions, Adaptive Equalizers Cite as: Orji
Full Text
The transmission of an image signal, such as a television signal, through a transmission channel subjects the signal to a variety of disturbances that may alter desired parameters of the signal. A television signal reaching a TV receiver may be unstable due to interference caused by noise and heavy rainfall, which creates poor-quality reception. An adaptive equalizer was used to minimize the errors in the received signal. From the research findings, degradation in television signal reception (called fading) is a result of attenuation by heavy rainfall and other natural phenomena. This work aimed to improve television signal reception under heavy rainfall conditions using an adaptive equalizer. From the results obtained, the equalizer minimizes the error by altering its filter coefficients with an average result of 0.1 at step sizes of 0.01, 0.5, and 0.1 with the equalizer against 0.3 without the equalizer.