摘要
研究井下人员准确定位问题,矿井环境十分复杂,受到大量噪声干扰,传统方法难以实现精确定位。为提高煤矿井下人员定位精度,将接收信号强度(RSSI)和混沌粒子群相算法结合,提出了一种改进RSSI的井下人员定位方法。算法首先根据接收信号强度初步确定井下人员与锚节点距离,然后采用最小二乘法对井下人员位置进行估计,并利用混沌粒子群对位置进行优化,进一步提高了定位精确度。结果表明,相对其它定位算法,改进RSSI算法提高了井下人员定位精度,非常适用于复杂环境下的井下人员定位。
The traditional method can not achieve high location precise because coalmine environment is complex and has many noise and random error. In order to improve the location precise, this paper proposed a coal mine personal location based on improved RSSI. This algorithm can analysis and improve the measure principle of received signal strength indicator （RSSI） to reduce the node location error, improve location precise, and realize actual time location monitor of the worker. The simulation results show that the proposed method has improved the precise of coal mine personnel location compared with the other location methods and it is suitable for coal mine personal location.
出处
《计算机仿真》
CSCD
北大核心
2012年第12期171-174,共4页
Computer Simulation
关键词
煤矿
人员定位
无线传感器网络
混沌粒子群算法
Coal mine
Personal location
Wireless sensor network （WSN）
Chaotic particle swarm optimization （CPSO） algorithm
