基于GPU的OMCSS水声通信M元解扩算法并行实现

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中图分类号：TN929.3 文献标志码：A DOI：10.12305/j.issn.1001-506X.2025.03.30

GPU-based parallel implementation of M-ary despreading algorithm for OMCSS underwater acoustic communication

PENG Haiyuan 1，2 ，WANG Wei1，LI Derui 1，2 ，LIU Yanjun 1，2. ，LI Yu1，* CHICheng1，TIAN Yanan1 （1. Key Laboratory of Science and Technology on Aduanced Underwater Acoustic Signal Processing， InstituteofAcoustics，Chinese Academy ofSciences，Beijing1Oo19o，China; 2.U niversity of Chinese Academy of Sciences，Beijing1ooo49，China）

Abstract：In response to the requirements for fast processing of received signals in the orthogonal multicarier spread spectrum（OMCSS） underwater acoustic communication system，a parallel implementation of the M-ary despreading algorithm based on the graphic processing unit （GPU） is proposed. First，the feasibility of implementing the M-ary despreadingalgorithm on the GPU platform isanalyzed，and parallel optimization processing is performed on the internal basic computing units of the algorithm.Then，in order to improve the paralel processing speed，M-ary parallel despreading computing architecture based on concurrent kernel execution is designed.The algorithm performance is tested on a central processing unit（CPU） + GPU heterogeneous platform. The test results show that the M-ary parallel despreading algorithm designed in this paper has a maximum improvement of 90.47% in running speed compared to the M-ary serial despreading algorithm，and the maximum speedup ratio is 10.5.

Keywords：orthogonal multi-carrier spread spectrum（OMCSS）；underwater acoustic communication; M-ary despreading；graphics processing unit （GPU）； parallel implementation

0 引言

在水下能够进行远距离传输的可靠信息载体是声波，因此水声通信成为水下远距离无线通信的最佳选择[]。（剩余15695字）