Symbol estimation for MIMO underwater acoustic communication based on multiplicative noise model

As the stochastic and time-varying underwater acoustic channels with serious multipath delays, energy loss and distortion factors, making the modeling and estimation of the underwater acoustic channel have been difficult problems in academic circles. As to the multiple-input multiple-output (MIMO) underwater acoustic communication, the system model with multiplicative noise is proposed to characterize the stochastic and time-varying underwater acoustic channels. Symbols are estimated based on the optimal recursive filtering algorithm in the sense of linear minimum variance, which can overcome the intersymbol interference and noise pollution efficiently. The system with multiplicative noise model established in this paper can characterize the underwater acoustic channels with complicated factors such as time-varying, energy attenuation, etc. The corresponding optimal channel estimation algorithm is computed recursively, which is calculation-efficient and can track the random variation of the underwater channel gain dynamically.