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| Experimental Analysis of Bit Noise in Optical Fiber Communication |
Kelechi John Ukagwu, Enerst Edozie , Malik Mohamed Umar, Zaina Kalyankolo
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Abstract:
In the communication era, technology is experiencing an unimaginable demand for low cost higher capacity networks. Recently, the progress in data processing due to the development of higher speed and higher density integrated circuits have exceeded the existing mode of data transmission. The usage of a large bundle of copper wires as a means for transferring information has become less desirable due to its size, metal conductor costs, weight and bandwidth limitations which have forced engineers and scientists to look for other ways of handling data. From the various possibilities developed, one of the most effective solutions to communication is fiber optics due to its importance and low cost. Most of the telecommunication traffic around the country is carried over the fiber optic cable. The long distance transmission within the region is through optical fiber laid underground. These are some parameters (Vibration, bending loss etc.) that affect the propagation of light in the fiber optic cable. All these factors increases the optical loss and attenuate the optical signal. The attenuation, especially in the long distance communication increases the bit error rate and degrades the quality of service. This research progress has analyzed various optical losses such as vibration, bending, pressure and temperature through different experimental data collections. The Optical Time - Domain Reflectometer (OTDR) has been used to acquire these signal losses on the optical fiber, and optical power meter was used for fiber optic test. This paper research has shown that from a real-time experiment, the implication of increased temperature of 50oC with loss of 10.77dB, vibrations from big and heavy trucks with overall end to end loss of 3.36dB and a bend about an object of 5cm in diameter with loss of 32.48dB contributes a digital bit loss of 85.62dB. This amount of loss is very significant as it contributes to the degradation of the quality of transmitted signal which in turn leads to poor quality of service delivered.
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