LOCALIZATION

作品数：962被引量：1346H指数：14
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Consistent and Accurate TDOA Localization in Dynamic NLOS Environments via Prior Information Independent Estimation
《China Communications》2024年第9期198-210,共13页Luo Mei Long Yu Xiong Youzhi Qin Shuang 
supported by the National Natural Science Foundation of China under Grant No.62101370。
In the time-difference-of-arrival(TDOA)localization,robust least squares(LS)problems solved by mathematical programming were proven to be superior in mitigating the effects of non-line-of-sight(NLOS)propagation.Howeve...
关键词：mathematical programming NLOS mitigation robust least squares TDOA 
A UWB/IMU-Assisted Fingerprinting Localization Framework with Low Human Efforts
《China Communications》2024年第6期40-52,共13页Pan Hao Chen Yu Qi Xiaogang Liu Meili 
With the rapid development of smart phone,the location-based services(LBS)have received great attention in the past decades.Owing to the widespread use of WiFi and Bluetooth devices,Received Signal Strength Indication...
关键词：indoor localization machine learning ultra wideband WiFi fingerprint 
Improved PSO-Extreme Learning Machine Algorithm for Indoor Localization
《China Communications》2024年第5期113-122,共10页Qiu Wanqing Zhang Qingmiao Zhao Junhui Yang Lihua 
supported in part by the National Natural Science Foundation of China(U2001213 and 61971191);in part by the Beijing Natural Science Foundation under Grant L182018 and L201011;in part by National Key Research and Development Project(2020YFB1807204);in part by the Key project of Natural Science Foundation of Jiangxi Province(20202ACBL202006);in part by the Innovation Fund Designated for Graduate Students of Jiangxi Province(YC2020-S321)。
Wi Fi and fingerprinting localization method have been a hot topic in indoor positioning because of their universality and location-related features.The basic assumption of fingerprinting localization is that the rece...
关键词：extreme learning machine fingerprinting localization indoor localization machine learning particle swarm optimization 
Robust Fingerprint Localization Based on Massive MIMO Systems
《China Communications》2022年第11期148-159,共12页Xiaojun Wang Yijie Ren Weiguang Sun Xiaoshu Chen 
supported by Jiangsu Province Key Research and Development Program(BE2018704);Technical Innovation Project of The Ministry of Public Security(20170001);Fundamental Research Funds for the Central Universities(2242022k30001);National Science Foundation of China(CN)(Grant No.61871111).
Location-based services have become an important part of the daily life.Fingerprint localization has been put forward to overcome the shortcomings of the traditional positioning algorithms in indoor scenario and rich ...
关键词：massive multiple-input multiple-output fingerprint extraction ROBUSTNESS database updating 
Sensing Matrix Optimization for Multi-Target Localization Using Compressed Sensing in Wireless Sensor Network被引量：3
《China Communications》2022年第3期230-244,共15页Xinhua Jiang Ning Li Yan Guo Jie Liu Cong Wang 
In the multi-target localization based on Compressed Sensing(CS),the sensing matrix's characteristic is significant to the localization accuracy.To improve the CS-based localization approach's performance,we propose a...
关键词：compressed sensing hybrid metaheuristic K-means clustering multi-target localization t%-averaged mutual coherence sensing matrix optimization 
Three-Dimensional Cooperative Localization via Space-Air-Ground Integrated Networks被引量：2
《China Communications》2022年第1期253-263,共11页Wenxuan Li Yuanpeng Liu Xiaoxiang Li Yuan Shen 
The space-air-ground integrated network(SAGIN)combines the superiority of the satellite,aerial,and ground communications,which is envisioned to provide high-precision positioning ability as well as seamless connectivi...
关键词：space-air-ground integrated network(SAGIN) three-dimensional(3D)localization clock noise multi-source information 
Single-Site Indoor Fingerprint Localization Based on MIMO-CSI
《China Communications》2021年第8期199-208,共10页Jiancun Fan Jianxiong Zhang Xiaoyuan Dou 
the National Natural Science Foundation of China under Grants No.61671367;the Key Research and Development Plan of Shaanxi Province under Grant No.2018GY-003;the Research Foundation of Science and Technology on Communication Networks Laboratory;the Fundamental Research Funds for the Central Universities.
In order to achieve higher accuracy and lower cost of indoor localization,we propose a positioning method using multiple input and multiple output(MIMO)channel state information(CSI)as a fingerprint.The method can be ...
关键词：electronics and communication engineering indoor positioning channel state information neural network PCA WKNN 
ERCS: An Efficient and Robust Card Recognition System for Camera-Based Image被引量：1
《China Communications》2020年第12期247-264,共18页Zhonghong Ou Baiqiao Xiong Fenrui Xiao Meina Song 
This work was supported by the National Natural Science Foundation of China(Grant No.61702046);National Key R&D Program of China(Grant No.2017YFB1401500 and 2017YFB1400800).
Cards Recognition Systems,(CRSs)are representative computer vision-based applications.They have a broad range of usage scenarios.For example,they can be used to recognize images containing business cards,personal iden...
关键词：card localization card recognition optical character recognition CNN 
Convolutional Neural Networks Based Indoor Wi-Fi Localization with a Novel Kind of CSI Images被引量：10
《China Communications》2019年第9期250-260,共11页Haihan Li Xiangsheng Zeng Yunzhou Li Shidong Zhou Jing Wang 
supported by the National Natural Science Foundation of China (No.61631013);National Key Basic Research Program of China (973 Program) (No. 2013CB329002);National Major Project (NO. 2018ZX03001006003)
Indoor Wi-Fi localization of mobile devices plays a more and more important role along with the rapid growth of location-based services and Wi-Fi mobile devices.In this paper,a new method of constructing the channel s...
关键词：convolutional NEURAL network INDOOR WI-FI LOCALIZATION channel state information CSI image 
EEG Source Localization Using Spatio-Temporal Neural Network被引量：4
《China Communications》2019年第7期131-143,共13页Song Cui Lijuan Duan Bei Gong Yuanhua Qiao Fan Xu Juncheng Chen Changming Wang 
supported by the National Natural Science Foundation of China (No. 61672070, 61501007, 11675199, 61572004 and 81501155);the Key Project of Beijing Municipal Education Commission (No. KZ201910005008);general project of science and technology project of Beijing Municipal Education Commission (No. KM201610005023);the Beijing Municipal Natural Science Foundation (No. 4182005);Clinical Technology Innovation Program of Beijing Municipal Administration of Hospitals (No. XMLX201805);Beijing Municipal Science & Tech Commission (No. Z171100000117004)
Source localization of focal electrical activity from scalp electroencephalogram (sEEG) signal is generally modeled as an inverse problem that is highly ill-posed. In this paper, a novel source localization method is ...
关键词：ELECTROENCEPHALOGRAM LSTM SOURCE LOCALIZATION SPATIO-TEMPORAL MODELING 
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