自适应动态周期下的移动水声网络自定位算法  

A Self-Localization Algorithm with Adaptive and Dynamic Observation Period for Mobile Underwater Acoustic Networks

作　　者：高婧洁 王威 申晓红[2] GAO Jingjie;WANG Wei;SHEN Xiaohong(School of Information Engineering,Chang’an University,Xi’an 710064,China;School of Marine Science and Technology,Northwestern Polytechnical University,Xi’an 710072,China)

机构地区：[1]长安大学信息工程学院,西安710064 [2]西北工业大学航海学院,西安710072

出　　处：《上海交通大学学报》2022年第12期1658-1665,共8页Journal of Shanghai Jiaotong University

基　　金：国家自然科学基金(61901057,61871059)资助项目。

摘　　要：针对移动水声网络中定位精度与通信开销之间的矛盾,提出一种自适应动态周期下的移动水声网络自定位算法.该算法根据系统状态估计与观测采样之间的残差,设计自适应的动态周期选择机制和非均匀的动态更新网络定位周期,进而实现非均匀动态周期下的移动水声网络高精度预测定位.该算法无需大量通信观测即可实现移动节点位置的实时跟踪,达到了定位精度与通信开销间的平衡.仿真结果表明,所提算法既保证了网络的定位估计精度,又减小了冗余定位通信开销,实现了有限通信开销下的高精度定位,更适用于精度要求高且通信带宽有限的水下环境中.In order to resolve the conflicts between the communication traffic and the localization accuracy,a self-localization algorithm with adaptive and dynamic observation period for mobile underwater acoustic networks(MUANs)was proposed to improve the localization performance.First,an adaptive and dynamic observation period selection scheme was designed,which could generate a non-uniform observation period vector according to the residual change.Then,based on the non-uniform observation period vector,a self-localization algorithm was proposed,which could precisely predict the trajectory of each mobile node in the network.The simulation results show that the proposed algorithm,which could balance the tradeoff between the localization accuracy and the communication cost,is more suitable for the underwater environment.

关 键 词：移动水声网络 自定位 自适应动态周期 

分 类 号：TN929.3[电子电信—通信与信息系统]