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The Global Positioning System (GPS) is a satellite-based system that can be used to locate positions anywhere on the earth surface. Any person with a GPS receiver can access the system, and it can be used for application that requires location coordinates. Currently, ionospheric scintillation is the largest error source in GPS. Scintillation causes some effects such as degradation of receiver tracking performance and in extreme cases, total loss of navigation capabilities. Ionospheric scintillation is a problem for satellite communication because it affects the amplitude and phase of radio signals. A decrease in the amplitude of a radio signal reduces its power level which directly affects the signal to noise ratio, thus affecting a base station's ability to detect and receive the signal. Error correction codes techniques are applied in almost all digital systems as they provide better performance for dealing with the unwanted signal (noise). This research work has investigated the performance of hamming and convolutional coding techniques in mitigating error in GPS signal modeled in MATLAB/Simulink by transmitting randomly generated data through a Rayleigh fading channel. The performance metric employed in evaluating the system is Bit Error Rate (BER). The simulation results showed a comparison of the BER performance of the uncoded and coded signals (using Hamming and Convolutional coding techniques).

Mitigation of Ionospheric Scintillation on Global Positioning System (GPS) Using Hamming and Convolutional Coding Techniques