多信息融合的水下传感器阵列网络移动节点定位  

Mobile node localization of underwater sensor array network based on multi-information fusion

作　　者：孙思琦 郝琨 李成 SUN Siqi;HAO Kun;LI Cheng(School of Computer and Information Engineering,Tianjin Chengjian University,Tianjin 300384,China)

机构地区：[1]天津城建大学计算机与信息工程学院,天津300384

出　　处：《传感器与微系统》2022年第7期143-146,151,共5页Transducer and Microsystem Technologies

基　　金：国家自然科学基金资助项目(61902273)。

摘　　要：为进一步提高水下传感器阵列网络对移动节点的定位精度,提出了一种基于多信息融合的水下传感器阵列网络移动节点定位(MLMI)方法。MLMI方法在基于到达时间差(TDOA)定位方法的基础上,利用水下阵列节点间接收信息的时延差对未知移动节点的方位角和俯仰角信息进行估计,结合最小二乘法获得节点的位置信息,并利用Tikhonov正则化法原理对获得的节点位置信息进行优化。仿真结果表明:与TDOA方法、加权最小二乘法改进的TDOA方法和DOA定位方法比较,MLMI方法定位性能得到提升。In order to further improve the localization precision of underwater sensor array network to mobile nodes,a mobile node localization of underwater sensor array network based on multi information fusion(MLMI)localization method is proposed.On the basis of TDOA localization method,MLMI localization method estimated the azimuth and elevation angle information of unknown mobile nodes by using the delay difference of the information received between underwater array nodes,obtained the node localization information by combining with the least square method,and optimized the node localization information acquired by the Tikhonov regularity method.The simulation results show that compared with the TDOA method,the weighted least square method and the DOA positioning method,the MLMI approach has better localization performance.

关 键 词：水下传感器阵列网络 方位角 俯仰角 最小二乘法 正则化 

分 类 号：TN911.7[电子电信—通信与信息系统]