Research Article
An Adaptive Step-Size Prediction Joint OMP Algorithm for Beam Tracking in Millimeter Wave Systems
@INPROCEEDINGS{10.1007/978-3-319-78139-6_24, author={Xu Yang and Xiaohui Li and Bin Zhou and Yanbin Zhao and Ruiyang Yuan}, title={An Adaptive Step-Size Prediction Joint OMP Algorithm for Beam Tracking in Millimeter Wave Systems}, proceedings={Communications and Networking. 12th International Conference, ChinaCom 2017, Xi’an, China, October 10-12, 2017, Proceedings, Part II}, proceedings_a={CHINACOM}, year={2018}, month={4}, keywords={Millimeter wave time-varying system OMP algorithm Beam tracking Outlier identification Bayesian estimation}, doi={10.1007/978-3-319-78139-6_24} }- Xu Yang
Xiaohui Li
Bin Zhou
Yanbin Zhao
Ruiyang Yuan
Year: 2018
An Adaptive Step-Size Prediction Joint OMP Algorithm for Beam Tracking in Millimeter Wave Systems
CHINACOM
Springer
DOI: 10.1007/978-3-319-78139-6_24
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 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.
