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机构地区:[1]中国矿业大学物联网(感知矿山)研究中心矿山互联网应用技术国家地方联合工程实验室,江苏徐州221008
出 处:《中国矿业大学学报》2017年第2期437-442,共6页Journal of China University of Mining & Technology
基 金:国家自然科学基金项目(51204177);国家重点基础研究发展计划(973)项目(2011CB707102);国家科技支撑计划项目(2013BAK06B05);江苏省自然科学基金项目(BK20151148)
摘 要:接收信号强度指示(RSSI)测距结果的不唯一性和波动性使得单标签定位的精度不高甚至漂移.提出一种面向矿井目标的双标签定位方法,它为待定位目标配备两个水平或垂直定位标签,进而构造标签与定位基站测量距离和估计距离间的优化函数.优化函数通过双向迭代求精法求解,它包括迭代初值确定、左/右双向迭代两个主要步骤.双标签法以添设一个定位标签的极小代价大幅提高了定位精度,具有较强的抗噪能力和环境适应能力,适用于不同形状和大小的矿井对象.The non-uniqueness and volatility of Received Signal Strength Indicator(RSSI)based distance measurement makes the single-tag localization produce low accuracy and even drifting results.To resolve this problem,a novel dual-tag localization method for coal mine objects was proposed in this paper.This method demands two tags attached on targets horizontally or vertically,then constructs an optimization function of measured distances and estimated distances between tags and anchors.The optimization function is solved with double direction iterative refinement,which is composed of two steps,named initial value determination and left/right double direction iteration.The dual-tag method can get much better localization results at the only cost of an extra tag,and can be used on many coal mine objects with different shapes and sizes under different circumstances with different noise levels.
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