基于蚁群算法的水声传感器网络信号检测方法  

Signal Detection Method of Underwater Acoustic Sensor Network Based on Ant Colony Algorithm

作　　者：孔德川[1,2] 王建平[2,3] 陈伟[3] 

机构地区：[1]中国矿业大学物联网研究中心,江苏徐州221116 [2]河南科技学院信息工程学院,河南新乡453003 [3]武汉理工大学信息工程学院,湖北武汉430070

出　　处：《仪表技术与传感器》2016年第8期100-104,共5页Instrument Technique and Sensor

基　　金：国家自然科学基金项目(31371525);河南省高等学校重点科研项目计划(16A520010)

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。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.

关 键 词：水声传感器网络(UASNs) 蚁群算法 信号检测 

分 类 号：TP301[自动化与计算机技术—计算机系统结构]