中文摘要：

水声传感器网络基于声纳通信,其数据传输延迟大,节点部署困难,数据误码率高。传统的信号检测技术在水声传感器网络中存在计算复杂度和检测误码率较高的问题,不利于网络节点的设计和节能。文中基于球型解码方法,提出了采用蚁群算法进行搜索树求解的信号优化检测方法。实验对比了ML、V-BLAST、SD 3种信号检测方法和文中算法。仿真结果表明,文中提出的信号检测方法兼顾了计算复杂度和误码率。

英文摘要：

The underwater acoustic sensor network was based on the sonar communication whose signal delay is big,node deployment is difficult,and the data error rate is high.There are problems that computational complexity and error rate in the traditional detection technology are high,which is to the disadvantage in the design and energy saving of the underwater acoustic sensor network node.Based on the sphere decoding method,the ant colony algorithm was as the optimized algorithm to search tree signal.The experiment contrasts three kinds of signal detection methods of ML,V-BLAST,SD and the method in the paper.The simulation results show that the signal detection method proposed in this paper gives consideration between computational complexity and bit error rate.