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详细介绍MCL算法,是由Sebastian Thrun a, Dieter Fox, Wolfram Burgard, Frank Dellaert所著的论文,发表于Artificial Intelligence上。-Mobile robot localization is the problem of determining a robot’s pose from sensor data. This
article presents a family of probabilistic lo
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gsm localization algorithms
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research paper wireless sensor network Localization algorithm for new and old Technic-research paper wireless sensor network Localization algorithm for new and old Technic
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localization overview
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一种目标运动要素快速定位方法,主要用于对目标的定位、跟踪背景下-Target Motion Analysis Algorithms for Rapid Localization Methods
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定位技术是无线传感器网络中关键的基础支撑技术, 目前提出了许多静态网络的节点定位算
法, 移动无线传感器网络的定位研究相对较少. 针对定位节点和参考节点随机运动的网络模型, 提出了
一个基于动态网格划分的蒙特卡罗定位算法. 算法中当接收的参考节点数超过一定阈值时使用最远距
离节点选择模型, 选出部分参考节点参与定位和信息转发, 节约能耗. 接着基于选择的或所有接收的参
考节点构建采样区域, 进行网格划分, 使用网格单元数计算最大采样次数, 在采样区域内采样并使用误
差补偿的运
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Localization in wireless sensor networks is the process of determining the geographical positions of
sensors. Only some of the sensors (anchors) in the networks have prior knowledge about their geographical
positions. Localization algorithms use
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This paper presents the segmentation algorithm used for
localization of iris for the development of robust iris
recognition algorithms for biometric process. Iris localization
plays a vital importance in iris identification. The method
determ
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This document presents a survey on using machine learning algorithms in wireless sensor networks applications such as localization ,routing...
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城市供水管网漏失定位的研究,本文
提出将 BP 神经网络和遗传算法用于供水管网的漏失定位。
-Urban water supply network leakage localization, this paper presents the BP neural networks and genetic algorithms for locating leakage water supply network.
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提出了改进的结合相位差变化率和多普勒频率变化率的单站无源定位算法。该算法克服了相位差变化率法中对目标运动状态和运动高度的限制及多普勒频率变化率法中波达角变化率信息获得困难,对算法实用性的限制,将两种算法的优点有机结合起来,降低了系统对定位系统前端接收机的设计难度,从而为该算法的硬件实现打下了良好的基础,最后使用迭代扩展卡尔曼滤波算法0Er,.v)对定位结果进行了处理,提高了估计的精度。(An improved single station without phase difference rat
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