Antennas and Propagation for Wireless Communication Systems
Antennas and Propagation for Wireless Communication Systems
Wireless Communications: Principles and Practice
Wireless Communications: Principles and Practice
Kernel-Based Positioning in Wireless Local Area Networks
IEEE Transactions on Mobile Computing
Sensor Measurements for Wi-Fi Location with Emphasis on Time-of-Arrival Ranging
IEEE Transactions on Mobile Computing
Non-Line-of-Sight Localization in Multipath Environments
IEEE Transactions on Mobile Computing
Statistical learning theory for location fingerprinting in wireless LANs
Computer Networks: The International Journal of Computer and Telecommunications Networking
Super-resolution TOA estimation with diversity for indoor geolocation
IEEE Transactions on Wireless Communications
Geolocation in mines with an impulse response fingerprinting technique and neural networks
IEEE Transactions on Wireless Communications
Indoor geolocation science and technology
IEEE Communications Magazine
Ranging in a dense multipath environment using an UWB radio link
IEEE Journal on Selected Areas in Communications
Manifold-based canonical correlation analysis for wireless sensor network localization
Wireless Communications & Mobile Computing
From RSSI to CSI: Indoor localization via channel response
ACM Computing Surveys (CSUR)
| Hi-index | 0.01 |
In this paper, we propose a fingerprint-based localization scheme that exploits the location dependency of the channel impulse response (CIR). We approximate the CIR by applying Inverse Fourier Transform to the receiver's channel estimation. The amplitudes of the approximated CIR (ACIR) vector are further transformed into the logarithmic scale to ensure that elements in the ACIR vector contribute fairly to the location estimation, which is accomplished through Nonparametric Kernel Regression. As shown in our simulations, when both the number of access points and density of training locations are the same, our proposed scheme displays significant advantages in localization accuracy, compared to other fingerprint-based methods found in the literature. Moreover, absolute localization accuracy of the proposed scheme is shown to be resilient to the real time environmental changes caused by human bodies with random positions and orientations.