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基于最小二乘测距定位算法信标最优部署模型 被引量:12

Optimal Landmark Deployment Patterns for Range-Based Least Squares Localization
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摘要 无线定位系统的信标部署方案对未知节点的定位性能有着重要影响.文中基于线性最小二乘定位算法的定位误差上界(该上界与信标部署拓扑结构和信标测距误差相关),首次演绎推导出矩形区域内信标最优部署模型以及信标数为3,4,5,6的最优部署拓扑.实验结果表明,采用文中所提的最优部署策略获得的平均定位精度比其它优化信标部署方案提高5%~35%. In a wireless location system, the landmark deployment pattern seriously affects the localization performance of the unknown nodes. Based on the upper bound of localization error using the linear least squares algorithm, which reflects the placement of anchor nodes as well as ranging errors between the anchor nodes and unknown nodes, this paper, for the first time, deduces the optimal deployment pattern in the rectangular area, and gives the specific optimal topology with 3,4,5,6 anchor nodes, respectively. Extensive simulation results show that the proposed deployment strategies outperform other optimized landmark deployment patterns with 5%-35 % positioning accuracy improvements.
出处 《计算机学报》 EI CSCD 北大核心 2013年第3期546-556,共11页 Chinese Journal of Computers
基金 国家自然科学基金(60973110) 北京市自然科学基金(4102059) “新一代宽带无线移动通信网”国家科技重大专项(2010ZX03006-002-03,2011ZX03005-005) 广东省中国科学院全面战略合作项目(2011A090100016) 江苏省科技支撑计划项目(BE2010017) 国家物联网发展专项资金项目(物专[2011]合同05号) 天津市滨海新区科技小巨人成长计划项目(2011-XJR12009)资助~~
关键词 无线定位 最小二乘 信标部署 Moore—Penrose伪逆矩阵 物联网 wireles inverse Internet of s localization least squares landmark deployment moore-penrose pseudo- Things
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参考文献17

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