RECEIVE SIGNAL STRENGTH PREDICTION IN THE GSM BAND USING WAVELET DECOMPOSITION

Authors

  • A Danladi DEPARTMENT OF PURE AND APPLIED PHYSICS, ADAMAWA STATE UNIVERSITY, MUBI , ADAMAWA STATE. NIGERIA
  • NW Silika DEPARTMENT OF PURE AND APPLIED PHYSICS, ADAMAWA STATE UNIVERSITY, MUBI , ADAMAWA STATE. NIGERIA
  • PG Vasira DEPARTMENT OF PURE AND APPLIED PHYSICS, ADAMAWA STATE UNIVERSITY, MUBI, ADAMAWA STATE. NIGERIA

DOI:

https://doi.org/10.4314/njt.361.1227

Keywords:

Decomposition, De-Noising, Reconstruction, Fading, Wavelet and Signal Strength

Abstract

In this work, GSM receive signal strength was monitored in an indoor environment. Samples of  GSM receive signal strength was measured on a Mobile Equipment (ME). One-dimensional multilevel wavelet decomposition technique was used to predict the fading phenomenon of the GSM receive signal strength measured. Wavelet prediction revealed that the GSM receive signal strength is attenuated due to the slow fading phenomenon, which fades about 3 times faster than the radio wavelength. The prediction is further validated using probability density functions in terms of Gaussian and Rayleigh distributions. It is observed that, significant part of the signal strength measured is dominated by good signal (- 101 dBm to – 74 dBm) with an average of – 88.8842 dBm and the signal strength followed more of Gaussian than Rayleigh distribution. This confirmed the wavelet prediction.

 

 

http://dx.doi.org/10.4314/njt.v36i1.22

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Section

Computer, Telecommunications, Software, Electrical & Electronics Engineering

How to Cite

RECEIVE SIGNAL STRENGTH PREDICTION IN THE GSM BAND USING WAVELET DECOMPOSITION. (2016). Nigerian Journal of Technology, 36(1), 172-177. https://doi.org/10.4314/njt.361.1227