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基于EKF算法的无线传感器网络定位技术研究 被引量：4

Research on EKF-Based Localization Technology in Wireless Sensor Networks
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摘要 无线传感器网络中,基于RSSI测距技术的定位系统误差较大。对扩展卡尔曼滤波(EKF)算法在抑制测距误差和提高定位精度方面进行了深入的研究。同时根据EKF算法在WSN节点定位中的两种应用方式,以收敛概率和相对误差为指标,在各种拓扑条件下对提高节点定位精度进行了分类探讨。最后结合仿真阐述了EKF算法的适用范围,并分析了影响算法性能的因素。 Distance measurement causes large error in RSSI-based localization technique in wireless sensor networks（WSNs）.In order to improve the precision of localization,an extended kalman filter（EKF） algorithm is introduced to restain the calculation error.Two application approaches of EKF,which can be used for WSNs,are compared with each other in this paper.At the same time,all kinds of topological conditions that may occur in the process of localization and how to improve the localization accuracy are investigated with convergence probability and relative error as indicators.Applicable situations of EKF is then analyzed via simulation,and factors that may impact on the performance of EKF is discussed at last.
作者 金仁成 赵伟 石小培
机构地区 大连理工大学微系统研究中心
出处 《传感技术学报》 CAS CSCD 北大核心 2010年第12期1810-1814,共5页 Chinese Journal of Sensors and Actuators
基金 国家973重点基础研究发展计划资助(2009CB320300) 辽宁省教育厅高等学校科技研究项目资助(2006T011)
关键词 无线传感器网络 定位 扩展卡尔曼滤波 RSSI wireless sensor networks localization EKF（Extended Kalman Filter） RSSI
分类号 TP393 [自动化与计算机技术—计算机应用技术]
  • 相关文献

参考文献8

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二级参考文献28

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共引文献59

同被引文献33

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引证文献4

二级引证文献12

传感技术学报
2010年 第12期

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