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机构地区:[1]南京理工大学计算机科学与工程学院,江苏南京210094
出 处:《南京理工大学学报》2016年第4期455-460,共6页Journal of Nanjing University of Science and Technology
摘 要:针对多跳非测距定位算法易受到节点分布不均、非视距传播等网络各向异性因素的影响,提出一种基于核Tikhonov规则化定位方法。采用核Tikhonov规则化方法构建跳数—距离映射模型,并利用该模型估计未知节点到参考节点的距离。理论分析和仿真实验表明,基于核Tikhonov规则化定位能有效避免网络各向异性和计算不适定问题,提高定位精度,涉及参数少,算法计算开销小,可适应于节点部署环境较复杂的网络,具有较高的实际应用价值。In order to overcome the problem of anisotropy due to non line of sight, density and other causes, a multihop range-free localization method based on kernel Tikhonov regularization is presented. This method constructs a mapping function by kernel Tikhonov regularization between hop-counts and physical distances for pairs of anchors, and obtain the no-anchors to anchors estimated distance using the measurement of hop-counts. The theoretical analysis and simulation results show that the improved method can solve the ill-condition problem and improve the positioning accuracy with avoiding the influence of anisotropy, and has the less calculation cost and parameters, being suitable for the harsh nodes deployment environment with high practical value.
关 键 词:核吉洪诺夫规则化 各向异性网络 不适定问题 多跳非测距定位
分 类 号:TP393.17[自动化与计算机技术—计算机应用技术]
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