Coherent signal parameter estimation by exploiting decomposition of tensors
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Publication:2298578
DOI10.1155/2019/5794791zbMath1435.94078OpenAlexW2984099086WikidataQ114070496 ScholiaQ114070496MaRDI QIDQ2298578
Jian Xie, Zhaolin Zhang, Yuexian Wang, Ling Wang, Long Liu
Publication date: 20 February 2020
Published in: Mathematical Problems in Engineering (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1155/2019/5794791
Factorization of matrices (15A23) Signal theory (characterization, reconstruction, filtering, etc.) (94A12) Multilinear algebra, tensor calculus (15A69)
Cites Work
- Canonical polyadic decomposition of third-order tensors: relaxed uniqueness conditions and algebraic algorithm
- An ESPRIT-like algorithm for coherent DOA estimation based on data matrix decomposition in MIMO radar
- Canonical Polyadic Decomposition of Third-Order Tensors: Reduction to Generalized Eigenvalue Decomposition
- Higher-Order SVD-Based Subspace Estimation to Improve the Parameter Estimation Accuracy in Multidimensional Harmonic Retrieval Problems
- ESPRIT-Based Coherent Source Localization With Forward and Backward Vectors
- A CANDECOMP/PARAFAC Perspective on Uniqueness of DOA Estimation Using a Vector Sensor Array
- Nested Vector-Sensor Array Processing via Tensor Modeling
- Forward/backward spatial smoothing techniques for coherent signal identification
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