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基于VGG-19和卡尔曼预处理的WSNs测距方法
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作者 刘超敏 胡玉平 《传感器与微系统》 CSCD 北大核心 2023年第10期139-142,共4页
提出了一种基于VGG-19网络和卡尔曼预处理的无线传感器网络(WSNs)测距方法。首先,通过卡尔曼滤波方法实现接收信号强度指示(RSSI)数据的滤波处理过程,以提高方法的稳定性;然后,利用VGG-19网络学习分析真实场景下拍摄的图像信息,以获得... 提出了一种基于VGG-19网络和卡尔曼预处理的无线传感器网络(WSNs)测距方法。首先,通过卡尔曼滤波方法实现接收信号强度指示(RSSI)数据的滤波处理过程,以提高方法的稳定性;然后,利用VGG-19网络学习分析真实场景下拍摄的图像信息,以获得高精度的图像特征;最后,根据图像数据和实际信号衰减数据,自动提取不同地面环境下信号传播的高层语义特征,从而完成距离测量。基于实测平台获取的数据进行实验分析,结果表明:在4种复杂程度不一的场景下,所提模型的距离估计误差最大不超过1 m,并且测距耗时为34.92 ms,整体性能优于其他对比模型。 展开更多
关键词 无线传感器网络 卡尔曼滤波处理 VGG-19网络 接收信号强度指示 高层语义特征 测距
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Infrastructure-based localisation of automated coal mining equipment 被引量:31
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作者 Chad O. Hargrave Craig A. James Jonathon C. Ralston 《International Journal of Coal Science & Technology》 EI 2017年第3期252-261,共10页
A novel radar-based system for longwall coal mine machine localisation is described. The system, based on a radar-ranging sensor and designed to localise mining equipment with respect to the mine tunnel gate road infr... A novel radar-based system for longwall coal mine machine localisation is described. The system, based on a radar-ranging sensor and designed to localise mining equipment with respect to the mine tunnel gate road infrastructure, is developed and trialled in an underground coal mine. The challenges of reliable sensing in the mine environment are considered, and the use of a radar sensor for localisation is justified. The difficulties of achieving reliable positioning using only the radar sensor are examined. Several probabilistic data processing techniques are explored in order to estimate two key localisation parameters from a single radar signal, namely along-track position and across-track position, with respect to the gate road structures. For the case of across-track position, a conventional Kalman filter approach is sufficient to achieve a reliable estimate. However for along-track position estimation, specific infrastructure elements on the gate road rib-wall must be identified by a tracking algorithm. Due to complexities associated with this data processing problem, a novel visual analytics approach was explored in a 3D interactive display to facilitate identification of significant features for use in a classifier algorithm. Based on the classifier output, identified elements are used as location waypoints to provide a robust and accurate mining equipment localisation estimate. 展开更多
关键词 Localisation · Waypoint navigation · Machine learning · Radar ·Underground · Longwall mining· Automation
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Jamming and spoofing interferences suppression technique for satellite navigation receiver
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作者 张琳 初海彬 张乃通 《Journal of Harbin Institute of Technology(New Series)》 EI CAS 2009年第5期730-736,共7页
A satellite navigation receiver that can suppress jamming interference and spoofing interference simuhaneously is designed in this paper. An anti-jamming improved constrained spacial adaptive processing algorithm in s... A satellite navigation receiver that can suppress jamming interference and spoofing interference simuhaneously is designed in this paper. An anti-jamming improved constrained spacial adaptive processing algorithm in signal processing and an anti-spoofing M-estimator based extended Kalman filter algorithm in information processing are proposed respectively. Simulations of the integral designed anti-interferences satellite navigation receiver demonstrate that the designed anti-interferences receiver can suppress jamming signals efficiently ( above 40 dB) and ensure the normal reception of satellite signals while satellite signals and jamming signals have the similar direction of arrival ( almost 10° ). The designed anti-interference receiver can effectively eliminate the influence of spoofing signals on the navigation solution accuracy and maintain high accuracy of position and velocity estimation, which improves the anti-jamming and anti-spoofing capability of the satellite navigation receiver. 展开更多
关键词 ANTI-JAMMING anti-spoofing satellite navigation receiver
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