Abstract:
nformation sent over channel in presence of channel noise, interference, distortion, and fading; all that can effect in the information and produce errors.
This research used Turbo code to reduce this errors in four generation, the MATLAB used to simulate the turbo encode and decode by BCJR algorithm.
The simulation covered the turbo code at different block lengths and iterations, Simulations are conducted on using Binary Phase Shift Keying (BPSK) modulation scheme in the presence of Additive White Gaussian Noise (AWGN) channel.
The results show that the Turbo coding performance improves with an increase in the block length and iteration, For larger block lengths and more iterations the BER is found to be lesser for given value of S/N.
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