Abstract
For the millimeter wave (mmWave) time-varying system, beamforming poses a formidable challenge for huge power overhead. In this paper, an adaptive step-size prediction joint orthogonal matching pursuit (OMP) algorithm (ASP-OMP), is proposed for beam tracking. With the direction of arrival (DOA) information obtained by OMP algorithm, kalman filter is used to predict the beamforming vector during N time slots to avoid huge sampling loss. In addition, we propose to determine the prediction step-size with outlier identification and eliminate the beam tracking error through data fusion based on Bayesian estimation. The simulation results demonstrate that the proposed algorithm can converge quickly and have a good performance for mmWave beam tracking.
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Acknowledgment
This work was supported by the State Major Science and Technique Project (MJ-2014-S-37), National Natural Science Foundation of China (61201134) and 111 Project (B08038).
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© 2018 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Yang, X., Li, X., Zhou, B., Zhao, Y., Yuan, R. (2018). An Adaptive Step-Size Prediction Joint OMP Algorithm for Beam Tracking in Millimeter Wave Systems. In: Li, B., Shu, L., Zeng, D. (eds) Communications and Networking. ChinaCom 2017. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 237. Springer, Cham. https://doi.org/10.1007/978-3-319-78139-6_24
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DOI: https://doi.org/10.1007/978-3-319-78139-6_24
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