检索规则说明:AND代表“并且”;OR代表“或者”;NOT代表“不包含”;(注意必须大写,运算符两边需空一格)
检 索 范 例 :范例一: (K=图书馆学 OR K=情报学) AND A=范并思 范例二:J=计算机应用与软件 AND (U=C++ OR U=Basic) NOT M=Visual
出 处:《传感器与微系统》2014年第5期55-58,共4页Transducer and Microsystem Technologies
基 金:国家"948"计划资助项目(2010-4-05);黑龙江省青年科学基金资助项目(QC2012C101);中央高校基本业务费资金资助项目(DLL0BB15)
摘 要:研究无线传感器网络在位置信息不确定时,同时定位无线传感器网络节点并跟踪移动目标。利用RSSI测量节点对之间的距离,多维定标技术根据距离矩阵完成传感器网络的初始定位。估计与更新阶段提出了压缩EKF滤波确定传感器节点位置和目标位置。仿真结果显示:算法在较低的网络覆盖率下有较高的定位和跟踪准确度,在初始定位误差为5m时,节点和跟踪误差均小于3m,特别是在长距离的跟踪任务中有很好的精度和实时性。Simultaneous localization and tracking is studied to solute the problem of tracking a moving target in wireless sensor networks (WSNs) while simultaneously localizing the nodes of WSNs, while position information is uncertain. RSSI is used to measure distance between node pairs, multidimensional scaling techniques are used for the initial position of WSNs based on distance matrix. Then the compression EKF filtering is used to estimate and update sensor node position and target position. Simulation results show that the algorithm has high accuracy of localization and tracking under low network coverage rate. Although the initial positioning error is 5m,the node and the tracking error is less than 3 m especially for long distance tracking, this algorithm has good accuracy and realtime performance.
分 类 号:TP212.9[自动化与计算机技术—检测技术与自动化装置]
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在链接到云南高校图书馆文献保障联盟下载...
云南高校图书馆联盟文献共享服务平台 版权所有©
您的IP:216.73.216.90