| 测距误差分级的室内TOA定位算法 |
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| 引用本文： | 王沁,何杰,张前雄,刘冰峰,于彦伟.测距误差分级的室内TOA定位算法[J].仪器仪表学报,2011,32(12). |
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| 作者姓名： | 王沁 何杰 张前雄 刘冰峰 于彦伟 |
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| 作者单位： | 北京科技大学计算机与通信工程学院 北京100083 |
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| 基金项目： | 国家自然科学基金，博士点基金 |
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| 摘 要： | 在室内TOA(time of arrival)定位中,严重的多径和非视距现象造成测距误差较大.如何降低测距误差对定位精度的影响是室内精确定位系统的重要挑战.首先介绍了基于RSSI的室内TOA测距误差分级模型(RSSI based indoor TOA ranging error model,RITEM),该模型根据测距过程的RSSI值大小,将测距误差划分为4个等级,且各个等级的误差区间和对应的RSSI值区间可以通过现场测试获得.将RITEM应用到定位算法中,提出一种基于误差分级的室内TOA定位算法(ranging error classification based indoor TOA localization algorithm,REC).算法根据TOA测距过程中的RSSI值和RITEM实时估计测距误差级别和误差范围,利用极大似然法求得定位区域中标签最大概率位置作为定位结果.仿真和实际测试结果显示,在实际室内环境中,REC定位算法具有较高的定位精度,且平均定位误差、定位误差均方差和90％定位误差、最大定位误差等性能明显好于Ls、CN-TOAG、Nano算法.
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| 关 键 词： | TOA 定位算法 室内定位系统 实时定位系统 |
Ranging error classification based indoor TOA localization algorithm |
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| Wang Qin,He Jie,Zhang Qianxiong,Liu Bingfeng,Yu Yanwei.Ranging error classification based indoor TOA localization algorithm[J].Chinese Journal of Scientific Instrument,2011,32(12). |
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| Authors: | Wang Qin He Jie Zhang Qianxiong Liu Bingfeng Yu Yanwei |
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| Affiliation: | Wang Qin,He Jie,Zhang Qianxiong,Liu Bingfeng,Yu Yanwei(School of Computer and Communication Engineering,University of Science and Technology Beijing,Beijing 100083,China) |
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| Abstract: | In this paper,an RSSI based TOA ranging error model(RITEM) is introduced first.In RITEM,ranging error is classified into four classes according to the RSSI value of TOA ranging process and ranging error of each class always lies within a certain interval.The parameters of RITEM can be obtained through experimental studies and the range of ranging error can be estimated using RSSI value.We apply RITEM to localization algorithm and a ranging error classification(REC) based TOA localization algorithm is presen... |
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| Keywords: | TOA localization algorithm indoor positioning system RTLS |
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