Title: A Beamforming Algorithm Based on the Uncertainty Set of the Space-Frequency Vector
Author(s): Chao Ren, Yongxiang Zheng, Gang Hu
Published in: Proceedings of the 30th International Technical Meeting of The Satellite Division of the Institute of Navigation (ION GNSS+ 2017)
September 25 - 29, 2017
Oregon Convention Center
Portland, Oregon
Pages: 2785 - 2794
Cite this article: Ren, Chao, Zheng, Yongxiang, Hu, Gang, "A Beamforming Algorithm Based on the Uncertainty Set of the Space-Frequency Vector," Proceedings of the 30th International Technical Meeting of The Satellite Division of the Institute of Navigation (ION GNSS+ 2017), Portland, Oregon, September 2017, pp. 2785-2794.
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Abstract: To solve the problem that beamforming performance degrades due to the signal mismatch, we propose a new beamformer structure under the uncertainty set of the space-frequency vector. Based on the space-frequency filtering model, a sectional method on frequency domain filtering is designed. For the section that possesses most of the signal power, constraint equations and the solving process of the optimal weights to the space-frequency beamformer is given, as well as determining the ranges of the loading factor by theoretical analysis. This beamforming algorithm is then tested under numerical simulations, verifying the correctness of theoretical analysis and robustness of the algorithm.