Robust Adaptive Beamforming with Nonconvex Union of Multiple Steering Vector Uncertainty Sets

A robust adaptive beamforming (RAB) problem maximizing the worst-case signal-to-interference-plus-noise ratio (SINR) over the union of small uncertainty sets, each with a similarity constraint on the desired signal steering vector, is formulated and recast into a minimization problem with a convex q...

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Veröffentlicht in:	IEEE transactions on aerospace and electronic systems 2024-11, p.1-11
Hauptverfasser:	Huang, Yongwei, Lin, Xianlian, So, Hing Cheung, Xu, Jingwei
Format:	Artikel
Sprache:	eng
Schlagworte:	Approximation algorithms Array signal processing Covariance matrices Interference Iterative algorithms Linear matrix inequalities norm constraint Programming quadratic matrix inequality Signal to noise ratio similarity constraint Uncertainty uncertainty with multiple signal mismatches Vectors Worst-case SINR maximization
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