The Experts below are selected from a list of 29793 Experts worldwide ranked by ideXlab platform
Jie He - One of the best experts on this subject based on the ideXlab platform.
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Target Localization in Industrial Environment based on TOA Ranging
2019 28th Wireless and Optical Communications Conference (WOCC), 2019Co-Authors: Yue Qi, Cheng Xu, Jie HeAbstract:In recent years, wireless positioning technology has penetrated into various fields of society. The GPS and Beidou Navigation Satellite System has done an excellent job in outdoor positioning, and the indoor positioning based on positioning technologies such as RFID, Wi-Fi and Bluetooth has been rapidly developed. In the Industrial Environment, the positioning of specific targets is faced with many problems such as occlusion and multipath effect. This paper introduces a positioning system based on TOA ranging in Industrial Environment. The system can solve the problem of inaccurate or abnormal positioning data in Industrial Environment.
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WOCC - Target Localization in Industrial Environment based on TOA Ranging
2019 28th Wireless and Optical Communications Conference (WOCC), 2019Co-Authors: Vue Qi, Cheng Xu, Jie HeAbstract:In recent years, wireless positioning technology has penetrated into various fields of society. The GPS and Beidou Navigation Satellite System has done an excellent job in outdoor positioning, and the indoor positioning based on positioning technologies such as RFID, Wi-Fi and Bluetooth has been rapidly developed. In the Industrial Environment, the positioning of specific targets is faced with many problems such as occlusion and multipath effect. This paper introduces a positioning system based on TOA ranging in Industrial Environment. The system can solve the problem of inaccurate or abnormal positioning data in Industrial Environment.
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Robust Kalman Filter Algorithm Based on Generalized Correntropy for Ultra-Wideband Ranging in Industrial Environment
IEEE Access, 2019Co-Authors: Jie He, Xiaotong ZhangAbstract:The performance of time-of-arrival (TOA)-based ranging using ultra-wideband is greatly declined in the Industrial Environment since the metallic obstacles cause severe non-line-of-sight (NLOS) and result in huge ranging measurement errors. A general challenge of TOA-based ranging and localization in the Industrial Environment is that the Kalman filter (KF)-based ranging optimization algorithm cannot effectively improve the ranging accuracy because the ranging errors follow a non-Gaussian distribution. In this paper, a generalized maximum correntropy Kalman filter (GMCKF) algorithm which can effectively suppress NLOS errors is proposed. GMCKF uses the generalized maximum correntropy criterion (GMCC) instead of the minimum mean square error as the criterion of KF, and obtain a robust gain function. GMCC can effectively measure the similarity between the state value and the measurement value, which directly reflects the abnormality of measurement errors. Therefore, GMCKF achieves smoothing filtering in both NLOS and line-of-sight conditions. We compare GMCKF with other KF-based algorithms and prove its steady-state performance in field testing. The results show that the ranging optimized by GMCKF is with significantly higher accuracy. Finally, the optimized ranging is used as the input of three general localization algorithms. The localization accuracy of all localization algorithms is also improved.
A.f. Molisch - One of the best experts on this subject based on the ideXlab platform.
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Statistical analysis of the UWB channel in an Industrial Environment
IEEE 60th Vehicular Technology Conference 2004. VTC2004-Fall. 2004, 2004Co-Authors: J. Karedal, S. Wyne, P. Almers, F. Tufvesson, A.f. MolischAbstract:In this paper, we present a statistical model for the ultra-wideband (UWB) channel in an Industrial Environment. Based on a set of measurements in a factory hall, we find that the abundance of metallic scatterers causes dense multipath scattering. This can be seen to produce mostly a Rayleigh distributed small-scale fading signal, with only a few paths exhibiting Nakagami distributions. For the power delay profile, we suggest a generalization of the Saleh-Valenzuela model where clusters with different excess delays have different ray power decay constants; the decay constants follow a linear dependence on the delay. This model provides an excellent fit to the measured data. We also note that for non-line-of-sight scenarios at larger distances, several hundred multipath components need to be collected to capture 50% of the available energy.
Adam Wolisz - One of the best experts on this subject based on the ideXlab platform.
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measurements of a wireless link in an Industrial Environment using an ieee 802 11 compliant physical layer
IEEE Transactions on Industrial Electronics, 2002Co-Authors: Andreas Willig, Martin Kubisch, Christian Hoene, Adam WoliszAbstract:The design and simulation of coding schemes, medium access control (MAC), and link-layer protocols for future Industrial wireless local area networks can be supported by some understanding of the statistical properties of the bit error patterns delivered by a wireless link (which is an ensemble of transmitter, channel, receiver, modems). The authors present results of bit error measurements taken with an IEEE 802.11-compliant radio modem in an Industrial Environment. In addition to reporting the most important results, they draw some conclusions for the design of MAC and link-layer protocols. Furthermore, they show that the popular Gilbert/Elliot model and a modified version of it are a useful tool for simulating bit errors on a wireless link, despite their simplicity and failure to match certain measured statistics.
J. Karedal - One of the best experts on this subject based on the ideXlab platform.
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Statistical analysis of the UWB channel in an Industrial Environment
IEEE 60th Vehicular Technology Conference 2004. VTC2004-Fall. 2004, 2004Co-Authors: J. Karedal, S. Wyne, P. Almers, F. Tufvesson, A.f. MolischAbstract:In this paper, we present a statistical model for the ultra-wideband (UWB) channel in an Industrial Environment. Based on a set of measurements in a factory hall, we find that the abundance of metallic scatterers causes dense multipath scattering. This can be seen to produce mostly a Rayleigh distributed small-scale fading signal, with only a few paths exhibiting Nakagami distributions. For the power delay profile, we suggest a generalization of the Saleh-Valenzuela model where clusters with different excess delays have different ray power decay constants; the decay constants follow a linear dependence on the delay. This model provides an excellent fit to the measured data. We also note that for non-line-of-sight scenarios at larger distances, several hundred multipath components need to be collected to capture 50% of the available energy.
Shengyong Chen - One of the best experts on this subject based on the ideXlab platform.
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Intelligent Collaborative Localization Among Air-Ground Robots for Industrial Environment Perception
IEEE Transactions on Industrial Electronics, 2019Co-Authors: Jianhua Zhang, Zengyuan Wang, Shengyong ChenAbstract:Multiple mobile robots have gradually played a key role in many Industrial systems, such as factory freight logistics system, patrol security in the factory Environment, and multirobot collaborative service and work. As a key issue in Industrial Environment perception, the accurate robot localization can enhance their autonomous ability and is an important branch of robotic studies in artificial intelligence. In this paper, we propose a new method for cooperative autonomous localization among air-ground robots in a wide-ranging outdoor Industrial Environment. The aerial robot first maps an area of interest and achieves self-localization. Then the aerial robot transfers a simplified orthogonal perspective 2.5-D map to the ground robots for collaboration. Within the collaboration, the ground robot achieves pose estimation with respect to the unmanned aerial vehicle pose by instantaneously registering a single panorama with respect to the 2.5-D map. The 2.5-D map is used as the spatial association among air-ground robots. The ground robots estimate the orientation using automatically detected geometric information and generates the translation by aligning the 2.5-D map with a semantic segmentation of the panorama. Our method effectively overcomes the dramatic differences between the air-level view and the ground-level view. A set of experiments is performed in the outdoor Industrial Environment to demonstrate the applicability of our localization method. The proposed robotic collaborative localization outperforms most consumer sensor in accuracy and also has an outstanding running time.