Underwater go-back channel statistical model research of reflection

Underwater communication is enormous severely disturbed by ocean channel especially under particular background of transceiver combination. The paper aimed to use trial data to invert contained parameters and propose underwater go-back channel model with reflected signal fluctuation on statistical field. And basing on M - H in Bayes- MCMC sampling algorithm, the paper both analyzed parameter inversion characteristics of go-back channel model, and adopted trial data of SNR=1dB, 6dB conditions to simulate and verify. The simulation result showed that small diversity indicating established inversion model effective and owning vital significance for underwater device communication.