A rapid advancement in the electronics and telecommunications industries has been observed. As a result, Communication gadgets are becoming more powerful and are more widely adopted. The demand for high data rate transmission is increasing. This has led to spectrum scarcity in Radio Frequency (RF) systems. Consequently, it is necessary to explore other technical means to meet the increasing demand for higher data rates. Free Space Optical Communication (FSOC) is a promising technology that offers one of such means. However, the major technical challenge in the FSOC systems is that, their performance is limited by atmospheric impairments such as: absorption, scattering and turbulence caused by rain, cloud, snow, wind, dust, aerosol, and fog. This research is aimed to addressed beam divergence challenge due to fog and raindrop in a tropical climate using wider field of view technique (FoV). The result showed that, for the fog measurement using mini solar panel at the receiver, the system achieved higher SNR of 60 dB at corresponding BER of 10-4. While, with the photodiode, the system achieved an SNR of 38 dB at same BER. For the rain measurement the same procedure was adopted and the system achieved higher SNR of 90 dB and 58 dB at same BER utilizing both solar panel and photodiode respectively. The result showed that, the fog impairment attenuates optical signal more than of rain by 34 % averagely
The world is advancing and the communication devices become more powerful and extensively adopted, the need for high data rate is increasing. This has led to spectrum scarcity in Radio Frequency (RF) systems. Consequently, it is necessary to explore other technical means to overcome the raising demand for higher data rates. Free Space Optical Communication (FSOC) offers one of such means. FSOC systems have the potential to offer much higher bandwidth than R F systems. However, a major technical challenge in FSOC system is that, their performance is limited by atmospheric impairments such as: absorption, scattering and turbulence caused by rain, cloud, snow, wind, dust, aerosol and fog. Many researches were carried out with the aim to improving the system through mathematical model and system development. Most of these researches were conducted in Europe, America and Asian countries. This research is aimed at addressing the challenges due to fog in a tropical climate, through mathematical modeling and validation. The new and improved models were developed, optimized and simulated. The results obtained were compared with that of the existing models and observed that, the developed model best fitted the measured result and also achieved lower attenuation.
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