摘要
在无线传感器网络中节点定位系统中,基于接收信号强度指示(RSSI)技术的定位算法研究有很多,这种定位技术成本低而且易于实现,但RSSI定位技术因容易受到环境因素的影响,在测距过程中,估测距离的误差很大。在RSSI定位系统的基础上,加入系统噪声和测量噪声,根据系统状态方程和动态系统测量方程,利用卡尔曼滤波算法,对RSSI进行滤波,并估测出移动节点的运动轨迹。仿真结果表明:改进卡尔曼滤波算法提高了移动节点的运动轨迹的定位精度。
Many studies are carried on localization algorithm based on RSSI technology in WSNs,but the low-cost and easy-inplemented localization technology are vulnerable to environmental factors,so there would be a large error in distance estimation during ranging.According to the system state equation and measurement equation of dynamic system,system noise and measurement noise are added to the RSSI localization system and Kalman filtering algorithm is used to filter RSSI and to estimate the trajectory of mobile node.Simulation results show that the localization precision of trajectory of the mobile node is increased by the improved Kalman fitlering algorithm.
出处
《传感器与微系统》
CSCD
北大核心
2012年第5期4-7,共4页
Transducer and Microsystem Technologies
基金
江西省教育厅青年科学基金资助项目(GJJ11105)
江西省研究生创新专项基金资助项目(YC10A094)
