Performance of serial concatenated convolutional codes with MSK over ISI wireless channels

Serial concatenated convolutional code (SCCC) with minimum shift keying (MSK) modulation technique over AWGN channel and ISI channel in wireless communication systems are investigated and analyzed. Iterative log-MAP (Maximum A Posteriori Probability) decoding algorithm is applied. The design criteria for serial concatenated codes are given. For AWGN channel, the simulation results show SCCC with MSK is an alternative to turbo codes and the performance is superior at high SNR. The types of the interleaver, the interleaver size, the number of iterations and different algorithms that influence the performance are investigated and simulated. For intersymbol interference (ISI) channel, which is caused by multipath, limited bandwidth and motion in wireless communication systems, zero-forcing and least mean square equalization algorithms are used to compensate for the effect of ISI. It is shown that least mean square algorithm has better performance than zero-forcing algorithm.