Danladi Ali and Onah Festus Iloabuchi
Wavelet Based Residual Method of Detecting GSM Signal Strength Fading
1633 - 1636
2014
8
9
International Journal of Electronics and Communication Engineering
https://publications.waset.org/pdf/9999464
https://publications.waset.org/vol/93
World Academy of Science, Engineering and Technology
In this paper, GSM signal strength was measured in
order to detect the type of the signal fading phenomenon using onedimensional
multilevel wavelet residual method and neural network
clustering to determine the average GSM signal strength received in
the study area. The wavelet residual method predicted that the GSM
signal experienced slow fading and attenuated with MSE of 3.875dB.
The neural network clustering revealed that mostly 75dB, 85dB and
95dB were received. This means that the signal strength received in
the study is a weak signal.
Open Science Index 93, 2014