Robust Adaptive Beamforming Based on Worst-Case and Norm Constraint | Zendy

Hongtao Li | Zendy; Ke Wang | Zendy; Chaoyu Wang | Zendy; Yapeng He | Zendy; Xiaohua Zhu | Zendy

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Robust Adaptive Beamforming Based on Worst-Case and Norm Constraint

Author(s) -

Hongtao Li,

Ke Wang,

Chaoyu Wang,

Yapeng He,

Xiaohua Zhu

Publication year - 2015

Publication title -

international journal of antennas and propagation

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.282

H-Index - 37

eISSN - 1687-5877

pISSN - 1687-5869

DOI - 10.1155/2015/765385

Subject(s) - adaptive beamformer , robustness (evolution) , norm (philosophy) , constraint (computer aided design) , beamforming , mathematical optimization , computer science , algorithm , control theory (sociology) , mathematics , artificial intelligence , telecommunications , biochemistry , chemistry , geometry , control (management) , political science , law , gene

A novel robust adaptive beamforming based on worst-case and norm constraint (RAB-WC-NC) is presented. The proposed beamforming possesses superior robustness against array steering vector (ASV) error with finite snapshots by using the norm constraint and worst-case performance optimization (WCPO) techniques. Simulation results demonstrate the validity and superiority of the proposed algorithm

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