Performance of OCDMA Systems Using Random Diagonal Code for Different Decoders Architecture Schemes

In this paper, new code families are constructed for spectral-amplitude coding optical code division multiple access, called random diagonal code for spectral amplitude coding optical code division multiple access networks. Random diagonalcode is constructed using code level and data level. One of the important properties of this code is that the cross correlation atdata level is always zero, which means that Phase Intensity Induced Noise is reduced. We find that the performance of therandom diagonal code will be better than modified frequency hopping and Hadamard code. It has been observed throughsimulation and theoretical calculation that bit-error rate for random diagonal code perform significantly better than othercodes. We analyze the performance of the proposed codes and examine how the code size and correlation properties arerelated. Three different decoding schemes are used for implementing the system: thin film filter, arrayed waveguide gratingand Fiber Bragg Grating. Simulation results show that for low channel (three users), the thin film and AWG filters performwell but Fiber Bragg Grating filters have higher dispersion than others, which could reduce the goal of 10 Gbit/s channel