基于自适应与轨迹预测的移动节点定位

发布时间：2018-11-08 17:27

【摘要】：针对海上节点随海浪运动的情形,提出一种基于自适应与轨迹预测的移动节点定位算法(Adaptive and Trajectory Prediction Localization Algorithm,ATPLA)。首先,基于海域信标节点运动情况求得海域节点运动相关性系数,并以此建立参数自适应移动节点运动模型,预测未知节点运动轨迹;随后,提出改进型蒙特卡罗定位方法,优化采样区域和样本点权重;最后,基于未知节点与其一跳、两跳信标节点相对位置进行过滤。仿真结果表明:ATPLA在信标节点密度低、节点运动速度大等情况下具有良好的定位效能,能提高海上动态节点的定位能力,进而提高海上搜救的效率和成功率。
[Abstract]:This paper presents a mobile node localization algorithm (Adaptive and Trajectory Prediction Localization Algorithm,ATPLA) based on adaptive and trajectory prediction for marine nodes moving with waves. Firstly, based on the motion of sea beacon nodes, the motion correlation coefficient of sea nodes is obtained, and a parameter adaptive moving node motion model is established to predict the motion trajectory of unknown nodes. Then, an improved Monte Carlo localization method is proposed to optimize the sampling region and the weight of the sample points. Finally, based on the unknown node and its one-hop, the relative position of the two-hop beacon node is filtered. The simulation results show that ATPLA has good localization efficiency under the condition of low density of beacon nodes and high speed of node movement. It can improve the positioning ability of dynamic nodes at sea and then improve the efficiency and success rate of maritime search and rescue.
【作者单位】：上海海事大学商船学院;中国(上海)自贸区供应链研究院;
【基金】：国家自然科学基金(51279099) 上海市科学技术委员会基金(12ZR1412500) 上海市教委科研创新基金(13ZZ124) 上海市教育委员会和上海市教育发展基金会“曙光计划”基金(12SG40) 交通运输部应用基础研究项目(2013329810300)
【分类号】：U676.8

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