基于GPU的实时水声信道仿真实现

Realization of real-time underwater acoustic channel based on GPU

对于水下无人系统跟踪定位、水声通信等技术而言,水声信道估计的实时性至关重要。本文首先简要分析了水声在浅海中的传播特性及信道模型,包括声速建模、传播衰减建模及本征声线的搜索模型;其次为了满足水声信道估计实时性的要求,基于GPU利用OpenCL环境进行仿真实现。最后通过结果分析,说明了本文对于水声信道的建模合理正确,同时也满足了实时性这一要求。

The real-time performance of underwater acoustic channel estimation is very important for target tracking and positioning, underwater acoustic communication and other technologies. Firstly, this paper analyzes the propagation characteristics and models of underwater acoustic in shallow sea. Including sound velocity modeling, propagation decay modeling and the search model of the eccentric line. Secondly, this paper is based on the GPU and uses the Open CL environment to realize the simulation. From the analysis of the results, it is proved that the modeling of the underwater eccentric line is reasonable and correct. At the same time, it fulfill the requirement of the real-time performance.