Comparison between Convolutional and LDPC Code-based Turbo Frequency Domain Equalization

This paper1 presents a Turbo Equalization system using soft interference cancellation in the frequency domain, in which the filter is updated during the iterations with respect to the soft information it receives from the decoder. Simulation results confirm that this method outperforms the suggested one in [4,ll] while it does not add much complexity to the system. We also investigate the effect of two coding schemes, LDPC code and convolutional code, on the performance of Turbo Frequency Domain Equalization (TFDE). TFDE with these codes are compared in terms of performance and computational complexity. Finally we suggest using an LDPC based frequency domain turbo equalizer due to its good performance/complexity tradeoff.