ANN Performance  Enhancement for Campus FSOC Links 

using KORUZA system

About Project

develop an Artificial Neural Network based bit error correction algorithm for the Koruza system. Since the Koruza can only transmit date on a between several ranges before the data start to lose partiality. We aim to implement some detection methods like Viterbi detection and SBRNN methods to correct the errors on the signal.

Project Documents

Project documentations and presentation slides (PDF)

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