摘要
由于电磁波传输的多径效应和信号干扰,基于接收信号强度(RSS)测距的室内定位精度较低,本文提出一种融合RSS和惯性测量的异构无线传感器网络(WSN)室内定位方案,它采用基于位置估计信任度的分布式一致性容积信息滤波算法(CCIF)来协同估计目标的位置;引入事件触发机制,基于RSS信号强度触发WSN节点唤醒,以提高网络的抗干扰性和降低网络能耗。室内移动小车的定位仿真和实验测试结果表明,所提出的WSN融合定位精度明显优于单一定位方法,具有显著的抗干扰性能,且分布式定位和事件触发机制可有效地降低网络能耗。
Due to multi-path effect and electromagnetic interference,RSS-based indoor positioning systems has lower accuracy.Aiming at this shortcoming,this paper proposes an indoor positioning scheme of a heterogeneous wireless sensor network(WSN)by integrating RSS and inertial measurement.The distributed consensus cubature information filters with credibility evaluation is utilized to estimate target positions collaboratively.An event-triggering mechanism is introduced to awaken the sensor nodes when the strength of RSS signals are satisfied for improving the network anti-interference and reduce network energy consumption.It is shown from the simulation and experiment results via mobile cars that the proposed method has higher positioning accuracy than a single positioning method,and remarkable anti-interference performance.Moreover,the distributed positioning scheme and event-triggering mechanism can effectively reduce network energy consumption.
作者
范玮
刘济
FAN Wei;LIU Ji(School of Information Science and Engineering,East China University of Science and Technology,Shanghai 200237,China)
出处
《华东理工大学学报(自然科学版)》
CAS
CSCD
北大核心
2023年第4期554-561,共8页
Journal of East China University of Science and Technology
基金
国家自然科学基金(61971278)。
关键词
无线传感器网络
室内定位
事件触发机制
一致性容积信息滤波
wireless sensor network
indoor positioning
event-triggering mechanism
consensus cubature information filter