An Adaptive Step-Size Prediction Joint OMP Algorithm for Beam Tracking in Millimeter Wave Systems

  • Xu Yang
  • Xiaohui Li
  • Bin Zhou
  • Yanbin Zhao
  • Ruiyang Yuan
Conference paper
Part of the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series (LNICST, volume 237)

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.

Keywords

Millimeter wave time-varying system OMP algorithm Beam tracking Outlier identification Bayesian estimation 

Notes

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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Copyright information

© ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2018

Authors and Affiliations

  • Xu Yang
    • 1
  • Xiaohui Li
    • 1
  • Bin Zhou
    • 2
  • Yanbin Zhao
    • 3
  • Ruiyang Yuan
    • 1
  1. 1.State Key Laboratory of Integrated Service NetworksXidian UniversityXi’anChina
  2. 2.AVIC Computing Technique Research InstituteXi’anChina
  3. 3.Geographic Information CenterYangquanChina

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