摘要
为建立实时、高精度定位系统,减少弯曲巷道对矿井人员定位产生的NLOS误差,基于超宽带UWB技术和井下复合衰落信道模型,提出一种矿井NLOS环境下的改进算法。利用面积形心算法,将未知节点的空间位置约束在一个较小的区域内,然后利用Taylor和Chan氏算法进行定位,从而提高UWB井下人员定位系统的精度。仿真结果表明:该算法在井下NLOS环境下具有较高的定位精度,综合性能优于Chan氏算法和Taylor算法。
Aimed at establishing real-time and high precision positioning system and reducing the effect of NLOS error on positioning in mine, this paper proposes an improved algorithm designed for NLOS environment in mines, based on UWB technology and composite fading channel model. The algo- rithm consists of restricting the unknown node spatial location to a smaller region using the geometric cen- troid algorithm and positioning using Taylor and Chan algorithm, thus improving the accuracy of positio- ning system with UWB underground personnel. The simulation result proves that the algorithm used in NLOS environment of mines is of a higher positioning accuracy and shows a better comprehensive perform- ance than both Chan and Taylor algorithm.
出处
《黑龙江科技学院学报》
CAS
2013年第2期181-184,共4页
Journal of Heilongjiang Institute of Science and Technology
基金
黑龙江省普通高等学校青年学术骨干支持计划项目(1155G47)