Millimeter Wave Beam Tracking via Particle Filter under the Mobility 


Vol. 44,  No. 9, pp. 1763-1769, Sep.  2019
10.7840/kics.2019.44.9.1763


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  Abstract

In this paper, we proposed particle filter beam tracking under the mobility in mmWave(millimeter-wave) communication system. In the 5G mobile communication, it is essential to use real0time beam tracking technology to estimate the angular change according to mobility in the mmWave band. Channel state is evolved by the mobility model which contains location, velocity and acceleration. The moving mobile follows discrete time Singer-type mobility model. Channel measurement is a nonlinear function of the channel gain and mobility information, so particle filter is proposed for mmWave mobility scenario. for beam and channel tracking in mmWave communications. In the simulation, we analysis particle filtering approach tracking performance with the number of antennas, number of particles, and mobility, and show outperforming results of particle filter approach over recently proposed EKF(extended Kalman filter) tracking approach.

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  Cite this article

[IEEE Style]

J. Kang and S. Kim, "Millimeter Wave Beam Tracking via Particle Filter under the Mobility," The Journal of Korean Institute of Communications and Information Sciences, vol. 44, no. 9, pp. 1763-1769, 2019. DOI: 10.7840/kics.2019.44.9.1763.

[ACM Style]

Jeong-wan Kang and Sun-woo Kim. 2019. Millimeter Wave Beam Tracking via Particle Filter under the Mobility. The Journal of Korean Institute of Communications and Information Sciences, 44, 9, (2019), 1763-1769. DOI: 10.7840/kics.2019.44.9.1763.

[KICS Style]

Jeong-wan Kang and Sun-woo Kim, "Millimeter Wave Beam Tracking via Particle Filter under the Mobility," The Journal of Korean Institute of Communications and Information Sciences, vol. 44, no. 9, pp. 1763-1769, 9. 2019. (https://doi.org/10.7840/kics.2019.44.9.1763)

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pISSN : 1226 - 4717
eISSN : 2287 - 3880