Journal ArticleDOI
3-D Indoor Localization and Identification Through RSSI-Based Angle of Arrival Estimation With Real Wi-Fi Signals
TLDR
In this paper , a highly accurate 3D indoor passive localization and identification system is presented, which uses a six-port network to evaluate the phase difference in the carrier waves of Wi-Fi signals without the influence of modulated signals.Abstract:
A highly accurate 3-D indoor passive localization and identification system is presented in this article. The system can monitor various commercial Wi-Fi devices through the proposed received signal strength indicator (RSSI)-based angle of arrival (AoA) estimation technique. RSSI-based localization systems conventionally use additional assistance techniques, such as distance–RSSI calibration, fingerprint analysis, machine learning, and a widespread setup to achieve high accuracy. On the contrary, this proposed system can operate in complex environments full of scattering objects and obstructions without requiring any additional assistance techniques. The proposed technique uses a six-port network to evaluate the phase difference in the carrier waves of Wi-Fi signals without the influence of modulated signals. The network also preserves the modulated signals without the influence of the phase difference of the carrier waves such that Wi-Fi devices can be identified. Regarding practical applications, the system is designed to be capable of detecting devices through walls and thus can be hidden outside the monitored room. The experimental results indicate that in single-source localization, the average error is 0.089 m; in multiple-source localization, it is 0.354 m; and for seeing through the wall, it is 0.24 m. In the worst case scenario, the error is still smaller than 0.63 m. The accuracy in all the experimental results was found to be at the decimeter level. In summary, this study experimentally validated a 3-D indoor localization and identification system for diverse Wi-Fi devices in various environments. read more
Citations
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Journal ArticleDOI
Indoor Localization With Robust Global Channel Charting: A Time-Distance-Based Approach
TL;DR: In this article , the authors proposed a distance metric for channel charting based on time-synchronized single-input/single-output (SISO) CSIs to learn the environment's global geometry in a channel chart without annotations.
Journal ArticleDOI
An Indoor Location-Based Augmented Reality Framework
Jehn-Ruey Jiang,Hanas Subakti +1 more
TL;DR: In this article , an indoor location-based augmented reality framework (ILARF) is proposed for the development of indoor augmented reality (AR) systems, which integrates an indoor localization unit (ILU), a secure context-aware message exchange unit (SCAMEU), and an AR visualization and interaction unit (ARVIU).
Journal ArticleDOI
TriLoc: Toward Accurate Indoor Localization With Assistance of Microwave Reflections
TL;DR: In this paper , a single AP-based indoor localization system with the assistance of microwave reflections is proposed, which can be used for locating the user device using only a single access point (AP).
Journal ArticleDOI
A Novel Compact Broadband SIW Six-port Junction For Angle-of-Arrival Applications
TL;DR: In this paper , the authors proposed a six-port SIW junction based on a novel topology and its application in AoA (angle-of-arrival) finding system, which is constructed by two multi-step H-plane Hybrid couplers, one complementary CSRR (split-ring resonator)-loaded wideband 90 ° phase shifter, two power dividers, and two extra phase shifters of arbitrary phase.
Journal ArticleDOI
An adaptive indoor localization model based on Cauchy-PSO optimized BPNN
TL;DR: In this article , an adaptive indoor positioning model based on Cauchy particle swarm optimization (Cauchy-PSO) BPNN is proposed to solve the problem of received Signal Strength Indication fluctuates with the change of indoor noise, resulting in a large positioning error of the trained Back Propagation Neural Network (BPNN).
References
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Survey of Wireless Indoor Positioning Techniques and Systems
TL;DR: Comprehensive performance comparisons including accuracy, precision, complexity, scalability, robustness, and cost are presented.
Proceedings ArticleDOI
Ad hoc positioning system (APS) using AOA
Dragos Niculescu,Badri Nath +1 more
TL;DR: This paper proposes a method for all nodes to determine their orientation and position in an ad-hoc network where only a fraction of the nodes have positioning capabilities, under the assumption that each node has the AOA capability.
Journal ArticleDOI
A Survey of Indoor Localization Systems and Technologies
TL;DR: This paper aims to provide a detailed survey of different indoor localization techniques, such as angle of arrival (AoA), time of flight (ToF), return time ofFlight (RTOF), and received signal strength (RSS) based on technologies that have been proposed in the literature.
Journal ArticleDOI
Indoor geolocation science and technology
TL;DR: An overview of the technical aspects of the existing technologies for wireless indoor location systems is presented, providing a fundamental understanding of the issues related to indoor geolocation science that are needed for design and performance evaluation of emerging indoorGeolocation systems.
Journal ArticleDOI
Recent Advances in Wireless Indoor Localization Techniques and System
TL;DR: A review of the recent advances in wireless indoor localization techniques and system is provided to deliver a better understanding of state-of-the-art technologies and motivate new research efforts in this promising field.