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High-Accuracy nlos identification Based on Random Forest and High-Precision Positioning on 60 GHz Millimeter Wave

China Communications 2023年第12期20卷 96-110页

作者： Qiuna Niu Wei Shi Yongdao Xu Weijun Wen Qingdao University of Science and Technology Qingdao 266000Shandong ProvinceChina Hisense Visual Technology Co. Ltd.Qingdao 266000Shandong ProvinceChina

60 GHz millimeter wave(mmWave)system provides extremely high time resolution and multipath components(MPC)separation and has great potential to achieve high precision in the indoor ***,the ranging data is often contaminated by non-line-of-sight(nlos)***,six features of 60GHz mm Wave signal under LOS and nlos conditions are ***,a classifier constructed by random forest(RF)algorithm is used to identify line-of-sight(LOS)or nlos *** identification mechanism has excellent generalization performance and the classification accuracy is over 97%.Finally,based on the identification results,a residual weighted least squares positioning method is *** ranging information including that under nlos channels is fully utilized,positioning failure caused by insufficient LOS links can be *** with the conventional least squares approach,the positioning error of the proposed algorithm is reduced by 49%.

关键词： 60 GHz millimeter wave indoor positioning nlos identification random forest

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Research on LOS/nlos identification Technology Based on WIFI Signal Space-Frequency Domain Information

Research on LOS/NLOS Identification Technology Based on WIFI...

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第十一届中国卫星导航年会

作者： Zhongliang Deng Rui Liu Yuhui Gao BUPT School of Electrical and Electronics Engineering

WIFI signal is met with an extensive application in the context of indoor wireless ***,the major challenge confronting indoor positioning systems based on ranging is the interferen

关键词： Channel State Information nlos identification SVM

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HUID:DBN-Based Fingerprint Localization and Tracking System with Hybrid UWB and IMU

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China Communications 2023年第2期20卷 139-154页

作者： Junchang Sun Rongyan Gu Shiyin Li Shuai Ma Hongmei Wang Zongyan Li Weizhou Feng School of Information and Control Engineering China University of Mining and TechnologyXuzhou 221116China Peng Cheng Laboratory Shenzhen 518055China School of Information and Communications Engineering University of Electronic Science and Technology of ChinaChengdu 611731China

High-precision localization technology is attracting widespread attention in harsh indoor *** this paper,we present a fingerprint localization and tracking system to estimate the locations of the tag based on a deep belief network(DBN).In this system,we propose using coefficients as fingerprints to combine the ultra-wideband(UWB)and inertial measurement unit(IMU)estimation linearly,termed as a HUID *** particular,the fingerprints are trained by a DBN and estimated by a radial basis function(RBF).However,UWB-based estimation via a trilateral method is severely affected by the non-line-of-sight(nlos)problem,which limits the localization *** tackle this problem,we adopt the random forest classifier to identify line-of-sight(LoS)and nlos ***,we adopt the random forest regressor to mitigate ranging errors based on the identification results for improving UWB localization *** experimental results show that the mean square error(MSE)of the localization error for the proposed HUID system reduces by 12.96%,50.16%,and 64.92%compared with that of the existing extended Kalman filter(EKF),single UWB,and single IMU estimation methods,respectively.

关键词： Ultra-wideband(UWB) inertial measurement unit(IMU) fingerprints positioning nlos identification estimated errors mitigation deep belief network(DBN) radial basis function(RBF)

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A survey on impulse-radio UWB localization

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Science China(Information Sciences) 2010年第7期53卷 1322-1335页

作者： XIAO Zhu1,2, HEI YongQiang1, YU Quan1,3 & YI KeChu1 1State Key Laboratory of Integrated Service Networks, Xidian University, Xi’an 710071, China 2College of Computer and Communication, Hunan University, Changsha 410082, China 3Research Institute of General Staff Headquarters, Beijing 100039, China State Key Laboratory of Integrated Service Networks Xidian University College of Computer and Communication Hunan University Research Institute of General Staff Headquarters

Impulse radio ultra-wideband (IR-UWB) technique has good performance in the application of high-precision localization since it possesses unique properties such as large instantaneous bandwidth and high time resolution. Making IR-UWB localization technology a growing hot topic in recent research field, therefore, it is necessary for us to give an overview of it in this paper. The TOA estimation, error analysis, nlos identification and nlos localization are studied in details based on the ranging methods. Simultaneously the UWB localization applications and practical problems are pointed out. At last, we outline the challenges for further research of IR-UWB localization.

关键词： impulse radio ultra-wideband localization TOA estimation error model nlos identification nlos localization

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