Robust tensor beamforming for polarization sensitive arrays

Robustness is of great importance in array beamforming. With the purpose of improving the robustness of the array beamforming, methods using tensor operations are explored in this paper. Specifically, a higher-dimension tensor decomposition method to construct minimum variance distortionless respons...

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Veröffentlicht in:	Multidimensional systems and signal processing 2019-04, Vol.30 (2), p.727-748
Hauptverfasser:	Liu, Long, Xie, Jian, Wang, Ling, Zhang, Zhaolin, Zhu, Yongjia
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Arrays Artificial Intelligence Beamforming Circuits and Systems Electrical Engineering Engineering Jamming Least squares method Polarization Robustness Signal,Image and Speech Processing Steering Tensors
Online-Zugang:	Volltext
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