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Journal ArticleDOI

WiFi-based indoor positioning

Chouchang Yang, +1 more
- 18 Mar 2015 - 
- Vol. 53, Iss: 3, pp 150-157
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TLDR
Simulation results show that the WiFi-based positioning approach can achieve 1 m accuracy without any hardware change in commercial WiFi products, which is much better than the conventional solutions from both academia and industry concerning the trade-off of cost and system complexity.
Abstract
Recently, several indoor localization solutions based on WiFi, Bluetooth, and UWB have been proposed. Due to the limitation and complexity of the indoor environment, the solution to achieve a low-cost and accurate positioning system remains open. This article presents a WiFibased positioning technique that can improve the localization performance from the bottleneck in ToA/AoA. Unlike the traditional approaches, our proposed mechanism relaxes the need for wide signal bandwidth and large numbers of antennas by utilizing the transmission of multiple predefined messages while maintaining high-accuracy performance. The overall system structure is demonstrated by showing localization performance with respect to different numbers of messages used in 20/40 MHz bandwidth WiFi APs. Simulation results show that our WiFi-based positioning approach can achieve 1 m accuracy without any hardware change in commercial WiFi products, which is much better than the conventional solutions from both academia and industry concerning the trade-off of cost and system complexity.

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Citations
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IoT Elements, Layered Architectures and Security Issues: A Comprehensive Survey.

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Solving the 5G Mobile Antenna Puzzle: Assessing Future Directions for the 5G Mobile Antenna Paradigm Shift

TL;DR: In this paper, the authors describe the evolution of antenna technologies for cellular hand-held devices over nearly 40 years, starting with the analog-based first generation to the current fourth-generation (4G) mobile broadband.
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A Review of Indoor Localization Techniques and Wireless Technologies

TL;DR: Comparisons between indoor localization systems in terms of accuracy, cost, advantages, and disadvantages are summarized and different detection techniques are presented.
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An RFID Indoor Positioning Algorithm Based on Bayesian Probability and K-Nearest Neighbor.

TL;DR: The proposed BKNN algorithm has the smallest location error compared with the Gaussian-based algorithm, LANDMARC and an improved KNN algorithm and the average error in location estimation is about 15 cm using the method.
References
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Journal ArticleDOI

Super-resolution TOA estimation with diversity for indoor geolocation

TL;DR: The measurement and simulation methods presented in this paper can be used to establish empirical performance bounds for real implementation of super-resolution indoor geolocation systems.
Proceedings ArticleDOI

Avoiding multipath to revive inbuilding WiFi localization

TL;DR: The main observation is that natural human mobility, when combined with PHY layer information, can help in accurately estimating the angle and distance of a mobile device from an wireless access point (AP).
Proceedings ArticleDOI

Efficient, generalized indoor WiFi GraphSLAM

TL;DR: This work presents a GraphSLAM-like algorithm for signal strength SLAM, which shares many of the benefits of Gaussian processes, yet is viable for a broader range of environments since it makes no signature uniqueness assumptions.
Journal ArticleDOI

Joint angle and delay estimation (JADE) for multipath signals arriving at an antenna array

TL;DR: This work proposes a novel subspace approach to estimate the AOA and delays of multipath signals from digitally modulated sources arriving at an antenna array using a collection of estimates of a space-time vector channel.
Proceedings ArticleDOI

Hybrid TOA/AOA techniques for mobile location in non-line-of-sight environments

S. Venkatraman, +1 more
TL;DR: This paper illustrates a hybrid time and angle of arrival technique that utilizes non-linear constrained optimization to estimate the mobile terminal's location with bounds on the range and angle errors inferred from geometry.
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