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Geometry-based non-line-of-sight error mitigation and localization in wireless communications

Science China(Information Sciences) 2019年第10期62卷 149-163页

作者： Jingyu HUA Yejia YIN Anding WANG Yu ZHANG Weidang LU School of Information and Electronic Engineering Zhejiang Gongshang University Zhejiang Provincial Key Laboratory of Information Processing Communication and Networking College of Information Engineering Zhejiang University of Technology

Recently, positioning services have received considerable attention. The primary source of the positioning error is non-line-of-sight(NLOS) propagation. To address this problem, we propose a novel NLOS mitigation scheme, in which the geometric relationship between a base station and a mobile station is used.This makes it possible to identify range measurements corrupted by NLOS errors, and the mobile station can then estimate its position through line-of-sight(LOS) measurements. Moreover, the threshold of the NLOS detector is derived via a hybrid method using both the analytical derivation and computer simulation, which significantly reduces the difficulty of identifying thresholds. After identifying the NLOS measurements, a two-step weighted-least-squares algorithm is used to obtain the localization, in which both range and angle measurements are considered. The simulation results reveal that the proposed algorithm yields a high identification probability of NLOS measurements, which results in improved localization performance.

关键词： wireless localization non-line-of-sight error geometry cellular network residual

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An overview on integrated localization and communication towards 6G

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Science China(Information Sciences) 2022年第3期65卷 5-50页

作者： Zhiqiang XIAO Yong ZENG National Mobile Communications Research Laboratory Southeast University Purple Mountain Laboratories

While the fifth generation(5 G) cellular system is being deployed worldwide, researchers have started the investigation of the sixth generation(6 G) mobile communication networks. Although the essential requirements and key usage scenarios of 6 G are yet to be defined, it is believed that 6 G should be able to provide intelligent and ubiquitous wireless connectivity with Terabits per second(Tbps) data rate and submillisecond(sub-ms) latency over three-dimensional(3 D) network coverage. To achieve such goals, acquiring accurate location information of the mobile terminals is becoming extremely useful, not only for locationbased services but also for improving wireless communication performance in various ways such as channel estimation, beam alignment, medium access control, routing, and network optimization. On the other hand, the advancement of communication technologies also brings new opportunities to greatly improve the localization performance, as exemplified by the anticipated centimeter-level localization accuracy in 6 G by extremely large-scale multiple-input multiple-output(MIMO) and millimeter wave(mm Wave) technologies.In this regard, a unified study on integrated localization and communication(ILAC) is necessary to unlock the full potential of wireless networks for dual purposes. While there are extensive studies on wireless localization or communications separately, the research on ILAC is still in its infancy. Therefore, this article aims to give a tutorial overview on ILAC towards 6 G wireless networks. After a holistic survey on wireless localization basics, we present the state-of-the-art results on how wireless localization and communication inter-play with each other in various network layers, together with the main architectures and techniques for localization and communication co-design in current two-dimensional(2 D) and future 3 D networks with aerial-ground integration. Finally, we outline some promising future research directions for ILAC.

关键词： wireless localization integrated localization and communication cellular networks B5G 6G

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Indoor navigation: state of the art and future trends

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Satellite Navigation 2021年第1期2卷 88-110页

作者： Naser El-Sheimy You Li Department of Geomatics Engineering University of Calgary2500 University Drive N.WCalgaryAB T2N 1N4Canada

This paper reviews the state of the art and future trends of indoor Positioning,localization,and Navigation(PLAN).It covers the requirements,the main players,sensors,and techniques for indoor PLAN.Other than the navigation sensors such as Inertial Navigation System(INS)and Global Navigation Satellite System(GNSS),the environmental-perception sensors such as High-Definition map(HD map),Light Detection and Ranging(LiDAR),camera,the fifth generation of mobile network communication technology(5G),and Internet-of-Things(IoT)signals are becoming important aiding sensors for PLAN.The PLAN systems are expected to be more intelligent and robust under the emergence of more advanced sensors,multi-platform/multi-device/multi-sensor information fusion,self-learning systems,and the integration with artificial intelligence,5G,IoT,and edge/fog computing.

关键词： Navigation Indoor positioning Information fusion wireless localization Dead reckoning Database matching

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Non-Linear localization Algorithm Based on Newton Iterations

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Journal on Internet of Things 2020年第4期2卷 129-134页

作者： Jianfeng Lu Guirong Fei Institute of Information Technology Taizhou Polytechnic CollegeTaizhou225300China

In order to improve the performance of time difference of arrival(TDOA)localization,a nonlinear least squares algorithm is proposed in this paper.Firstly,based on the criterion of the minimized sum of square error of time difference of arrival,the location estimation is expressed as an optimal problem of a non-linear programming.Then,an initial point is obtained using the semi-definite programming.And finally,the location is extracted from the local optimal solution acquired by Newton iterations.Simulation results show that when the number of anchor nodes is large,the performance of the proposed algorithm will be significantly better than that of semi-definite programming approach with the increase of measurement noise.

关键词： wireless localization non-linear programming time difference of arrival newton Iteration

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