Application of convolutionally coded DPSK in meteor-burst communication systems

Convolutionally coded DPSK MBC system is analyzed 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 in this paper, whereas only maximum acceptable BER is used as a parameter in earlier literature. The results obtained by this method are more accurate than that by the classical methods. The new results are about 1 dB more optimistic in terms of minimum SNR. The performance of the CC-DPSK is compared with that of a Reed-Solomon coded-DPSK. It shows that for similar performance the CC-DPSK has a much smaller system complexity and for similar complexity the soft-decision decoded CC-DPSK has a much better performance