3D Angle-of-Arrival Positioning Using von Mises-Fisher Distribution

Nurminen, Henri; Suomalainen, Laura; Ali-Löytty, Simo; Piché, Robert

doi:10.23919/icif.2018.8455205

Cited by 3 publications

(1 citation statement)

References 18 publications

(23 reference statements)

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“…Therefore, the standard Gaussian distribution is not the most appropriate. To the best of our knowledge, directional statistics have been used for the first time for 2-D AoA positioning in [12], [13] by employing the von Mises distribution, and for 3-D positioning in [14], [15] by employing the more general von Mises-Fisher distribution. Other 2-D probabilistic AoA positioning approaches can be found in [16], [17].…”

Section: Introductionmentioning

confidence: 99%

Experimental Study on Probabilistic ToA and AoA Joint Localization in Real Indoor Environments

Abrudan¹,

Kolmonen²,

Huang³

2021

Preprint

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In this paper, we study probabilistic time-of-arrival (ToA) and angle-of-arrival (AoA) joint localization in real indoor environments. To mitigate the effects of multipath propagation, the joint localization algorithm incorporates into the likelihood function Gaussian mixture models (GMM) and the Von Mises-Fisher distribution to model time bias errors and angular uncertainty, respectively. We evaluate the algorithm performance using a proprietary prototype deployed in an indoor factory environment with infrastructure receivers in each of the four corners at the ceiling of a 10 meter by 20 meter section. The field test results show that our joint probabilistic localization algorithm significantly outperforms baselines using only ToA or AoA measurements and achieves 2-D sub-meter accuracy at the 90%-ile. We also numerically demonstrate that the joint localization algorithm is more robust to synchronization errors than the baseline using ToA measurements only.Index Terms-Indoor positioning, probabilistic localization, time-of-arrival (ToA), angle-of-arrival (AoA), multipath propagation, prototype, field tests C. Geng was with Nokia Bell Labs when he finished his contribution to this work.

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Section: Introductionmentioning

confidence: 99%

Experimental Study on Probabilistic ToA and AoA Joint Localization in Real Indoor Environments

Abrudan¹,

Kolmonen²,

Huang³

2021

Preprint

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Wasserstein Graph Auto-Encoder

Chu

Ning

et al. 2022

Algorithms and Architectures for Parallel Processing

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Quantum-Resistant Cryptography for the Internet of Things Based on Location-Based Lattices

Althobaiti

Dohler

2021

IEEE Access

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The Internet of Things (IoT) and localization are two important technology enablers. An important IoT technology is the Narrow-Band Internet of Things (NB-IoT), which is a 3GPP standards compliant connectivity solution. Quantum computing, another developing technological paradigm, promises novel computational opportunities, but it has also been used to compromise many cybersecurity procedures. Therefore, improved methods to mitigate such jeopardies are needed. In this research, we propose a cryptographic system that guarantees post-quantum IoT security. The ultimate value of a location-driven cryptosystem is to use geographic location as a player's identity and credential. Position-driven cryptography using lattices is efficient and lightweight, and it can be used to protect sensitive and confidential data in many critical situations that rely heavily on exchanging confidential data. Based on our best knowledge, this research starts the study of unconditional-quantum-resistant-location-driven cryptography by using the Lattice problem for the Internet of Moving Things (IoMT) in pre-and post-quantum world. Unlike existing schemes, the proposed cryptosystem is the first secure and unrestricted position-based protocol that guards against any number of collusion attackers and against quantum attacks. It has a guaranteed authentication process, solves the problems of distributing public keys by cancelling public key infrastructure (PKI), offers secure NB-IoT without SIM cards, and resists location spoofing attacks. Furthermore, it can be generalized for any network -not just NB-IoT.

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3D Angle-of-Arrival Positioning Using von Mises-Fisher Distribution

Cited by 3 publications

References 18 publications

Experimental Study on Probabilistic ToA and AoA Joint Localization in Real Indoor Environments

Experimental Study on Probabilistic ToA and AoA Joint Localization in Real Indoor Environments

Wasserstein Graph Auto-Encoder

Quantum-Resistant Cryptography for the Internet of Things Based on Location-Based Lattices

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