煤矿工作面动目标精确定位关键技术研究

项目名称： 煤矿工作面动目标精确定位关键技术研究

项目编号： No.51204177

项目类型： 青年科学基金项目

立项/批准年度： 2013

项目学科： 冶金与矿业学科

项目作者： 胡青松

作者单位： 中国矿业大学

项目金额： 25万元

中文摘要： 煤矿工作面以及工作面中部署的设备会随着生产的进行而不断推进，使得基于锚节点的定位方法失效。同时，工作面物理通信空间时刻变化的特性使得传统的定位算法效果不佳。本项目采用无线传感器构成定位网络，让网络随着设备的移动而移动，解决工作空间不断移动的难题。系统可以根据需要，决定是否对WSN网络进行自定位。定位节点上配备智能天线，让其通过并行的小生境搜索算法搜索目标节点信号，估计目标信号的到达角度。研究基于预警转换、漂移补偿和时钟校准的精确时间估计与同步技术，以及节点故障下的自修复技术，为定位网络提供精确的时延。在子空间分解更新技术的基础上，采用基于锁角环路的自适应DOA跟踪算法和精确的时间估计技术(或AOA)对工作面区域内的目标进行实时定位追踪。

中文关键词： 煤矿工作面；动目标定位；时间同步；DOA估计；动态推进

英文摘要： With the progress of coal mining, coal face and its devices will shift continuously, disabling the positioning methods based on anchor nodes. Besides, the time-varying property of physical communication space in coal face makes those traditional positioning algorithms work poor. To solve these problems, we make use of wireless sensors forming a positioning network, which can move with devices. In this scheme, WSN can decide whether self-positioning or not. All localization nodes will assemble one smart antenna. In this project, localization nodes searche signals of destination node through parallel ecological niche searching algorithm, and then evaluate the signals' direction of arrival. Second, we will study the precise time estimating and synchronizing technologies based on early-warning transformation, drifting compensation and clock correction, and then research the self-repair methods under nodes fault. Through these works, we can get precise delays for object positioning. In the end, we will take the subspace decomposition update technology into consideration to develop a adaptive DOA tracking algorithm based on angle-locked loop, and then employ DOA and precise time estimating technology or AOA to get the destination's coordinates.

英文关键词： working face of coal mines；localization of moving objects；time synchronization；DOA estimation；dynamic moving