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

机译：基于乘性噪声模型的MIMO水下声学通信符号估计

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摘要

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.
机译：由于随机的且时变的水下声通道具有严重的多径延迟，能量损失和失真因素，因此对水下声通道进行建模和估计一直是学术界的难题。对于多输入多输出（MIMO）水下声学通信，提出了一种具有乘性噪声的系统模型，用于表征随机和时变的水下声学信道。在线性最小方差的意义上，基于最优递归滤波算法对符号进行估计，可以有效克服符号间干扰和噪声污染。本文建立的具有乘性噪声模型的系统可以表征具有时变，能量衰减等复杂因素的水下声通道。递归计算相应的最优通道估计算法，计算效率高，可以跟踪随机水下通道增益的动态变化。

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