摘要
随着煤炭开采强度和深度的提高,物联网技术逐渐成为井下人员定位系统中的热点。此外,3G网络的不断发展也为井下人员的精确定位提供了强有力的支持。采用TD-SCDMA技术,在井下铺设TD基站,利用物联网技术完成井下节点的组网建设。在此基础上对传统的Chan算法和Taylor算法进行改进,充分利用TD-SCDMA技术的优势,提出一种混合数据融合定位算法,经仿真证明,提出的基于物联网的定位算法在一定程度上克服了煤矿井下恶劣环境的影响,大大提高了定位精度。
With the strength and depth of coal mining increasing, the Internet of Things （IoT） has become the hot point in the coal mine personnel po- sitioning system. In addition, the continuous development of 3G also provides a strong support for the precise position of staff. In this paper, the TD-SC-DMA technology is introduced. Lots of TD base stations in the coal mining are deployed, and the network of communication is constructed taking advan-tage of the IoT technology. Based on this, a hybrid data fusion localization algorithm that is improved compared with the traditional Chan algorithm and Taylor algorithm is proposed. This algorithm leverages the superiority of TD-SCDMA technology. The simulation results are proved that this algorithm could decrease the adverse impact caused by circumstances interference efficiently and the positioning accuracy is highly improved.
出处
《电视技术》
北大核心
2014年第5期128-131,共4页
Video Engineering
基金
教育部2012年高等学校博士学科点专项科研基金联合课题(20121402120020)
山西省科学技术发展项目(20120321024-01)
山西省国际合作项目(2012081031)
