摘要
为了解决复杂室内环境下的RFID动态节点定位跟踪问题,文中建立了动态节点的运动模型和信号测量模型。仿真采用基于信号RSSI定位方法,结合运用等边三角形定位算法。由于室内射频信号具有较高的噪声污染,因此首先对采集的信号运用粒子滤波技术进行滤波处理,然后运用高斯粒子滤波算法对室内移动的RFID进行了定位跟踪预测。仿真结果表明该算法可以有效地对室内动态节点进行定位跟踪,精度较高,稳定性好,结果进一步说明高斯粒子滤波能有效地抑制室内射频噪声。
In order to solve indoor RFID dynamic node locating and tracking in complex environment,this paper established the indoor dynamic node movement model and signal measurement model.The simulation based on signal strength instructions（RSSI） locating method,combining use an equilateral triangle localization algorithm to locate calculation.Because indoor RF signal has high noise pollution,so first it used particle filter technology for filtering processing,and then use Gaussian particle filtering algorithm to location and tracking forecasts for indoor mobile RFID.The simulation results show that this algorithm can efficiently locate the node on the indoor track dynamic,have high accuracy and good stability,the results add to a weight of evidence on the Gaussian particle filter can effectively suppress indoor RF noise.
出处
《信息技术》
2011年第8期77-80,共4页
Information Technology
关键词
粒子滤波
高斯粒子滤波
室内定位
定位节点
RSSI
particle filtering
Gaussian particle filtering
indoor positioning
positioning node
RSSI
