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Your search keyword '"Wang, Hanhua"' showing total 24 results
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24 results on '"Wang, Hanhua"'

1. Design and Performance Analysis of Multi-scale NOMA for 5G Positioning

Author

Yin, Lu, Cao, Jiameng, Deng, Zhongliang, Ni, Qiang, Li, Song, Zheng, Xinyu, and Wang, Hanhua

Subjects
Electrical Engineering and Systems Science - Signal Processing
Abstract

This paper presents a feasibility study for a novel positioning-communication integrated signal called Multi-Scale Non-Orthogonal Multiple Access (MS-NOMA) for 5G positioning. One of the main differences between the MS-NOMA and the traditional positioning signal is MS-NOMA supports configurable powers for different positioning users (P-Users) to obtain better ranging accuracy and signal coverage. Our major contributions are: Firstly, we present the MS-NOMA signal and analyze the Bit Error Rate (BER) and ranging accuracy by deriving their simple expressions. The results show the interaction between the communication and positioning signals is rather limited, and it is feasible to use the MS-NOMA signal to achieve high positioning accuracy. Secondly, for an optimal positioning accuracy and signal coverage, we model the power allocation problem for MS-NOMA signal as a convex optimization problem by satisfying the QoS (Quality of Services) requirement and other constraints. Then, we propose a novel Positioning-Communication Joint Power Allocation (PCJPA) algorithm which allocates the powers of all P-Users iteratively. The theoretical and numerical results show our proposed MS-NOMA signal has great improvements of ranging/positioning accuracy than traditional PRS (Positioning Reference Signal) in 5G, and improves the coverage dramatically which means more P-Users could locate their positions without suffering the near-far effect.

Published
2019

2. DOP Analysis for Indoor Hybrid TDOA/TOA Positioning Based on Mobile Communication Network

Author

Wang, Hanhua, Deng, Zhongliang, Zheng, Xinyu, Fu, Xiao, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Hirche, Sandra, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Möller, Sebastian, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zhang, Junjie James, Series Editor, Yang, Changfeng, editor, and Xie, Jun, editor

Published
2021
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3. An Improved Chan/Newton Combined Position Estimate Algorithm

Author

Wei, Jiachen, Deng, Zhongliang, Wang, Hanhua, Zheng, Xinyu, Fu, Xiao, Liu, Qiongyu, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Hirche, Sandra, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Möller, Sebastian, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zhang, Junjie James, Series Editor, Sun, Jiadong, editor, Yang, Changfeng, editor, and Xie, Jun, editor

Published
2020
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4. Classified Particle Swarm Optimization Based Algorithm for Cooperative Localization

Author

Liu, Qiongyu, Deng, Zhongliang, Wang, Hanhua, Zheng, Xinyu, Fu, Xiao, Wang, Fan, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Hirche, Sandra, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Möller, Sebastian, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zhang, Junjie James, Series Editor, Sun, Jiadong, editor, Yang, Changfeng, editor, and Xie, Jun, editor

Published
2020
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6. Ray-Tracing Aided Indoor Bayesian Positioning Algorithm

Author

Wang, Hanhua, Deng, Zhongliang, Fu, Xiao, Li, Jing, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Ruediger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Hirche, Sandra, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Liang, Qilian, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Möller, Sebastian, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zhang, Junjie James, Series Editor, Sun, Jiadong, editor, Yang, Changfeng, editor, and Guo, Shuren, editor

Published
2018
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11. Effects of Dietary Lentinus edodes Fermentation Supplementation on Digestive Enzyme Activity, Antioxidant Capacity and Morphology of the Liver and Intestine in Largemouth Bass (Micropterus salmoides) Fed High Plant Protein Diets.

Author

Xu, Jiaming, Yu, Zhoulin, Liu, Guangye, Li, Sijie, Zhou, Guoyong, Wang, Hanhua, Dong, Yewei, You, Cuihong, Bai, Weidong, Zhou, Meng, Huang, Yanhua, and Tan, Xiaohong

Subjects
LARGEMOUTH bass, SHIITAKE, PLANT proteins, DIETARY proteins, OXIDANT status, DIGESTIVE enzymes
Abstract

This study evaluated the effect of Lentinus edodes fermentation (LEF) on digestive enzyme activity, antioxidant capacity and morphology of the liver and intestine in largemouth bass (Micropterus salmoides) fed high plant protein diets (HPPD). LEF was supplemented in HPPD with 0 g kg−1 (LEF0), 10 g kg−1 (LEF1), 20 g kg−1 (LEF2), 30 g kg−1 (LEF3), 40 g kg−1 (LEF4), 50 g kg−1 (LEF5), respectively, and then the six diets were fed to largemouth bass with a body weight of 28.8 ± 0.05 g for eight weeks. Juvenile fish were randomized into 6 groups and each group had 4 replicates with 40 fish. Dietary LEF supplementation alleviated the liver inflammatory reaction of largemouth bass caused by HPPD and improved liver morphology. Goblet cells multiplied and the gut muscle layer thickened after LEF supplementation. The LEF significantly increased amylase activity in the liver and intestine of largemouth bass in individual experimental groups. The LEF could increase the activity of catalase in the liver and intestine of largemouth bass (p < 0.05). The content of malondialdehyde was significantly lower than that in the control group (p < 0.05). Dietary LEF supplementation had no significant effect on the intestinal flora of largemouth bass. These findings imply that LEF supplementation can reduce liver inflammation, enhance intestinal tissue morphology, and eventually benefit largemouth bass health. [ABSTRACT FROM AUTHOR]

Published
2023
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12. Effects of increased intracranial pressure on cerebrospinal fluid influx, cerebral vascular hemodynamic indexes, and cerebrospinal fluid lymphatic efflux

Author

Xiang, Tangtang, primary, Feng, Dongyi, additional, Zhang, Xinjie, additional, Chen, Yupeng, additional, Wang, Hanhua, additional, Liu, Xuanhui, additional, Gong, Zhitao, additional, Yuan, Jiangyuan, additional, Liu, Mingqi, additional, Sha, Zhuang, additional, Lv, Chuanxiang, additional, Jiang, Weiwei, additional, Nie, Meng, additional, Fan, Yibing, additional, Wu, Di, additional, Dong, Shiying, additional, Feng, Jiancheng, additional, Ponomarev, Eugene D, additional, Zhang, Jianning, additional, and Jiang, Rongcai, additional

Published
2022
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15. Atorvastatin Plus Low-Dose Dexamethasone May Be Effective for Leukemia-Related Chronic Subdural Hematoma but Not for Leukemia Encephalopathy: A Report of Three Cases

Author

Yuan, Jiangyuan, primary, Li, Ying, additional, Liu, Xuanhui, additional, Nie, Meng, additional, Jiang, Weiwei, additional, Fan, Yibing, additional, Xiang, Tangtang, additional, Wang, Hanhua, additional, Quan, Wei, additional, Gao, Chuang, additional, Huang, Jinghao, additional, An, Shuo, additional, Ru, Yongxin, additional, Zhou, Qiufan, additional, Zhang, Jianning, additional, and Jiang, Rongcai, additional

Published
2021
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22. A Closed-Form Localization Algorithm and GDOP Analysis for Multiple TDOAs and Single TOA Based Hybrid Positioning.

Author

Deng, Zhongliang, Wang, Hanhua, Zheng, Xinyu, Fu, Xiao, Yin, Lu, Tang, Shihao, and Yang, Fuxing

Subjects
LOCALIZATION (Mathematics), WIRELESS localization, MOBILE communication systems, MEASUREMENT errors, ALGORITHMS, TELECOMMUNICATION systems, LEAST squares
Abstract

Featured Application: User terminal positioning based on the 5G system or other ground-based wireless systems. Cellular communication systems support mobile phones positioning function for Enhanced-911 (E-911) location requirements, but the positioning accuracy is poor. The fifth-generation (5G) cellular communication system can use indoor distribution systems to provide accurate multiple time-difference-of-arrival (TDOA) and single time-of-arrival (TOA) measurements, which could significantly improve the indoor positioning ability. Unlike iterative localization algorithms for TDOA or TOA, the existing closed-form algorithms, such as the Chan-Ho algorithm, do not have convergence problems, but can only estimate position based on one kind of measurement. This paper proposes a closed-form localization algorithm for multiple TDOAs and single TOA measurements. The proposed algorithm estimates the final position result using three-step weighted least squares (WLSs). The first WLS provides an initial position for the last two steps. Then the algorithm uses two WLSs to estimate position based on heteroscedastic TDOA and TOA measurements. In addition, the geometric dilution of precision (GDOP) of the proposed hybrid TDOA and TOA positioning has been derived. The analysis of GDOP shows that the proposed hybrid positioning has lower GDOP than TDOA-only positioning, which means the proposed hybrid positioning has a higher accuracy limitation than TDOA-only positioning. The simulation shows that the proposed localization algorithm could have better performance than closed-form TDOA-only positioning methods, and the positioning accuracy could approximate Cramer-Rao lower bound (CRLB) when the TDOA measurement errors are small. [ABSTRACT FROM AUTHOR]

Published
2019
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