摘要
因传统的矿山井下机车定位误差较大,应用不够灵活,提出了一种矿山井下机车改进的接收信号强度指示(Received Signal Strength Indication,RSSI)定位算法。为减小机车移动造成的误差,多次采样RSSI值,对其进行最小二乘法曲线拟合,然后根据拟合后得到的函数,计算出运行算法和网络延迟后的RSSI值。为减少矿下环境影响,优选信标节点;且机车位置计算取其到不同信标节点距离的差值,得到的一组双曲线方程,用chan算法求解。仿真结果表明,改进后的算法具有较高的定位精度,节点布置的越密集,参与定位的节点越多,定位精度就越高,最低定位误差为0.4m。
The traditional underground mine locomotive location gets large errors and is not flexible enough. So im- proved received signal strength indication（RSSI） location algorithm of underground mine locomotive is proposed. In order to reduce the locomotive movement error, the RSSI values are measured multiple and handle with squares curve fit. Then ac- cording to the fitting function, the RSSI value which is the one after the time of running algorithm and network delay is calcu- late＆ To reduce the environmental influence of mine, the excellent beacon nodes are chose. And the distance difference be- tween locomotive and different beacon node is used to calculate the position of locomotive. Then a set of hyperbolic equations are got and solved with chan algorithm. The results of simulation show that the improved algorithm has good positioning ac- curacy. The more node＇s dense is arranged and nodes are involved in positioning, the higher positioning accuracy is got. The minimum error is 0. 4 m.
出处
《计算机与数字工程》
2015年第4期554-557,571,共5页
Computer & Digital Engineering
