欢迎您！东篱公司
退出
-
申报数据库
-
立项数据库
-
成果数据库
-
项目获奖数据库
中文摘要：
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。
英文摘要：
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.
同期刊论文项目
同项目期刊论文
期刊信息
位置：