基于AR模型的时变水声信道统计分析方法  

Statistical analysis method for time-varying underwater acoustic channel based on AR model

作　　者：戴文舒[1] 鲍凯凯 陈新华[3] 孙兴丽 DAI Wenshu;BAO Kaikai;CHEN Xinhua;SUN Xingli(College of Information and Communication Engineering, North Unversity of China, Taiyuan 030051, China;North Automatic Control Technology Institute, Taiyuan 030051, China;The Institute of Acoustics of the Chinese Academy of Sciences, Beijing 100190, China)

机构地区：[1]中北大学信息与通信工程学院,太原030051 [2]北方自动控制技术研究所,太原030051 [3]中国科学院声学研究所,北京100190

出　　处：《振动与冲击》2019年第13期231-235,共5页Journal of Vibration and Shock

基　　金：山西省面上青年基金项目(201701D221017)

摘　　要：Bellhop波束追踪方法利用射线理论在给定的几何和声源频率下能够得到准确的水下信道,但没有考虑到随机信道变化,将位置的不确定性和表面波浪的变化引起大尺度效应建模为1阶AR模型,理论建模分析并仿真验证了信道功率增益随通信带宽和通信距离的关系,采用最小二乘拟合对信道功率增益做局部平均,从而对时变水声信道概率密度函数进行估计。表面波浪的时变引起路径长度的变化,通过计算信道功率增益自相关函数可以估计模型参数,从而为信道预测提供可能。Bellhop beam tracking method can be used to get correct underwater acoustic channels under given geometry and sound source frequency with the ray theory, but it does not consider random channel changes. Here, the large-scale effect caused by position uncertainty and surface wave change was modeled as a first-order AR model. The relation among channel power gain, communication bandwidth and communication distance was theoretically modeled and analyzed, and this relation was verified with numerical simulation. The least square fitting was adopted to do local average of channel power gain, and then estimate the probability density function of a time-varying underwater acoustic channel. It was shown that time-varying surface waves can cause path length change;through calculating the auto-correlation function of channel power gain, the model parameters can be estimated to provide a possibility for channel prediction.

关 键 词：水声信道建模 AR模型 最小二乘拟合 统计特性 

分 类 号：TB566[交通运输工程—水声工程]