A Survey of Enabling Technologies for Network Localization, Tracking, and Navigation

作     者：Laoudias, Christos Moreira, Adriano Kim, Sunwoo Lee, Sangwoo Wirola, Lauri Fischione, Carlo 

作者机构：Huawei Technol Ireland Res Ctr Dublin D01 R3K6 1 Ireland Univ Cyprus KIOS Res & Innovat Ctr Excellence CY-1678 Nicosia Cyprus Univ Minho Algoritmi Res Ctr P-4800058 Guimaraes Portugal Hanyang Univ Dept Elect Engn Seoul 04763 South Korea Korea Aerosp Res Inst Nav Res & Dev Div Daejeon 34133 South Korea HERE Enterprise Indoor Positioning Solut Tampere 33100 Finland KTH Royal Inst Technol Dept Network & Syst Engn S-10044 Stockholm Sweden 

出 版 物：《IEEE COMMUNICATIONS SURVEYS AND TUTORIALS》 (IEEE Commun. Surv. Tutor.)

年 卷 期：2018年第20卷第4期

页      面：3607-3644页

核心收录：

学科分类：0810[工学-信息与通信工程] 0808[工学-电气工程] 08[工学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：European Union's Horizon 2020 Research and Innovation Programme Republic of Cyprus through the Directorate General for European Programmes, Coordination and Development Ministry of Science, ICT and Future Planning, South Korea through the Information Technology Research Center support program [IITP-2018-0-01637] 

主　　题：Network localization tracking navigation location architecture cellular 5G cooperative WLAN WSN range-free data fusion 3D location floor identification mobility state estimation indoor mapping SLAM 

摘      要：Location information for events, assets, and individuals, mostly focusing on two dimensions so far, has triggered a multitude of applications across different verticals, such as consumer, networking, industrial, health care, public safety, and emergency response use cases. To fully exploit the potential of location awareness and enable new advanced location-based services, localization algorithms need to be combined with complementary technologies including accurate height estimation, i.e., three dimensional location, reliable user mobility classification, and efficient indoor mapping solutions. This survey provides a comprehensive review of such enabling technologies. In particular, we present cellular localization systems including recent results on 5G localization, and solutions based on wireless local area networks, highlighting those that are capable of computing 3D location in multi-floor indoor environments. We overview range-free localization schemes, which have been traditionally explored in wireless sensor networks and are nowadays gaining attention for several envisioned Internet of Things applications. We also present user mobility estimation techniques, particularly those applicable in cellular networks, that can improve localization and tracking accuracy. Regarding the mapping of physical space inside buildings for aiding tracking and navigation applications, we study recent advances and focus on smartphone-based indoor simultaneous localization and mapping approaches. The survey concludes with service availability and system scalability considerations, as well as security and privacy concerns in location architectures, discusses the technology roadmap, and identifies future research directions.