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3D angle-of-arrival positioning using von Mises-Fisher distribution

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3D angle-of-arrival positioning using von Mises-Fisher distribution. / Nurminen, Henri; Suomalainen, Laura; Ali-Löytty, Simo; Piche, Robert.

2018 21st International Conference on Information Fusion (FUSION): 10-13 July, 2018, Cambridge, United Kingdom. IEEE, 2018. p. 2036-2041 8455205.

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Harvard

Nurminen, H, Suomalainen, L, Ali-Löytty, S & Piche, R 2018, 3D angle-of-arrival positioning using von Mises-Fisher distribution. in 2018 21st International Conference on Information Fusion (FUSION): 10-13 July, 2018, Cambridge, United Kingdom., 8455205, IEEE, pp. 2036-2041, International conference on information fusion, 10/07/18. https://doi.org/10.23919/ICIF.2018.8455205

APA

Nurminen, H., Suomalainen, L., Ali-Löytty, S., & Piche, R. (2018). 3D angle-of-arrival positioning using von Mises-Fisher distribution. In 2018 21st International Conference on Information Fusion (FUSION): 10-13 July, 2018, Cambridge, United Kingdom (pp. 2036-2041). [8455205] IEEE. https://doi.org/10.23919/ICIF.2018.8455205

Vancouver

Nurminen H, Suomalainen L, Ali-Löytty S, Piche R. 3D angle-of-arrival positioning using von Mises-Fisher distribution. In 2018 21st International Conference on Information Fusion (FUSION): 10-13 July, 2018, Cambridge, United Kingdom. IEEE. 2018. p. 2036-2041. 8455205 https://doi.org/10.23919/ICIF.2018.8455205

Author

Nurminen, Henri ; Suomalainen, Laura ; Ali-Löytty, Simo ; Piche, Robert. / 3D angle-of-arrival positioning using von Mises-Fisher distribution. 2018 21st International Conference on Information Fusion (FUSION): 10-13 July, 2018, Cambridge, United Kingdom. IEEE, 2018. pp. 2036-2041

Bibtex - Download

@inproceedings{23e0f93a148544fe9283ef8bd6061b2c,
title = "3D angle-of-arrival positioning using von Mises-Fisher distribution",
abstract = "We propose modeling an angle-of-arrival (AOA) positioning measurement as a 3-dimensional von Mises-Fisher (VMF)-distributed unit vector instead of the conventional normally distributed azimuth and elevation measurements. Describing the 2-dimensional AOA measurement with three numbers removes discontinuities and reduces nonlinearity at the poles of the azimuth-elevation coordinate system. Our computer simulations show that the proposed VMF measurement noise model based approximative Bayesian filters outperform the normal distribution based algorithms in accuracy in a scenario where close-to-pole measurements occur frequently.",
author = "Henri Nurminen and Laura Suomalainen and Simo Ali-L{\"o}ytty and Robert Piche",
note = "INT=mat,{"}Suomalainen, Laura{"}",
year = "2018",
doi = "10.23919/ICIF.2018.8455205",
language = "English",
pages = "2036--2041",
booktitle = "2018 21st International Conference on Information Fusion (FUSION)",
publisher = "IEEE",

}

RIS (suitable for import to EndNote) - Download

TY - GEN

T1 - 3D angle-of-arrival positioning using von Mises-Fisher distribution

AU - Nurminen, Henri

AU - Suomalainen, Laura

AU - Ali-Löytty, Simo

AU - Piche, Robert

N1 - INT=mat,"Suomalainen, Laura"

PY - 2018

Y1 - 2018

N2 - We propose modeling an angle-of-arrival (AOA) positioning measurement as a 3-dimensional von Mises-Fisher (VMF)-distributed unit vector instead of the conventional normally distributed azimuth and elevation measurements. Describing the 2-dimensional AOA measurement with three numbers removes discontinuities and reduces nonlinearity at the poles of the azimuth-elevation coordinate system. Our computer simulations show that the proposed VMF measurement noise model based approximative Bayesian filters outperform the normal distribution based algorithms in accuracy in a scenario where close-to-pole measurements occur frequently.

AB - We propose modeling an angle-of-arrival (AOA) positioning measurement as a 3-dimensional von Mises-Fisher (VMF)-distributed unit vector instead of the conventional normally distributed azimuth and elevation measurements. Describing the 2-dimensional AOA measurement with three numbers removes discontinuities and reduces nonlinearity at the poles of the azimuth-elevation coordinate system. Our computer simulations show that the proposed VMF measurement noise model based approximative Bayesian filters outperform the normal distribution based algorithms in accuracy in a scenario where close-to-pole measurements occur frequently.

U2 - 10.23919/ICIF.2018.8455205

DO - 10.23919/ICIF.2018.8455205

M3 - Conference contribution

SP - 2036

EP - 2041

BT - 2018 21st International Conference on Information Fusion (FUSION)

PB - IEEE

ER -