The performance analysis of a convolutionally encoded DPSK MBC system is based on the time-varying SNR model, and the statistical nature of the burst duration and the decaying time constant. The performance is evaluated in terms of the average bit error rate, the throughput, the average waiting time, and the, system complexity. The average bit error rate is stressed, whereas only maximum acceptable BER is used as a parameter in earlier literature. The results obtained by this method are more accurate than that obtained by the classical methods. The new results are about 1 dB more optimistic in terms of minimum SNR. The performance of the convolutional coding-DPSK combination is compared with that of a Reed-Solomon coding-DPSK combination. The comparison shows that,for similar performance, the CC-DPSK combination has a much smaller system complexity, and for similar complexity the soft-decision decoded-CC-DPSK has a much better performance.
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