A CANDECOMP/PARAFAC Perspective on Uniqueness of DOA Estimation Using a Vector Sensor Array

DOI10.1109/TSP.2011.2131134zbMath1392.94237MaRDI QIDQ4573080

Xuewen Liao, David Brie, Sebastian Miron, Shihua Zhu, Xijing Guo

Publication date: 18 July 2018

Published in: IEEE Transactions on Signal Processing (Search for Journal in Brave)

Mathematics Subject Classification ID

Signal theory (characterization, reconstruction, filtering, etc.) (94A12)

Related Items (5)

A novel spatially spread electromagnetic vector sensor for high-accuracy 2-D DOA estimation ⋮ Adaptive tensorial beamformer based on electromagnetic vector-sensor arrays with coherent interferences ⋮ Uni-mode uniqueness conditions for CANDECOMP/PARAFAC decomposition of \(n\)-way arrays with linearly dependent loadings ⋮ Coherent signal parameter estimation by exploiting decomposition of tensors ⋮ Polynomial rooting-based DOA estimation algorithm for vector-sensor arrays using quaternions

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