Direction-of-Arrival Estimation via Coarray With Model Errors
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DOI: 10.1109/access.2018.2873416
Abstract: Direction-of-Arrival (DoA) estimation with Coarray can resolve $O(\mathit {N^{2}})$ sources via only $O(N)$ physical sensor elements. When it comes to model errors, i.e., manual coupling, gain and/or phase errors, and sensor location errors, whether Coarray… read more here.
Keywords: estimation; direction arrival; calibration; tex math ... See more keywords
Underdetermined Direction-of-Arrival Estimation Using Difference Coarray in the Presence of Unknown Nonuniform Noise
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DOI: 10.1109/access.2019.2949920
Abstract: The coarray techniques, e.g., nested and coprime arrays, can significantly improve degrees of freedom (DOFs) via constructing a so-called difference coarray, which enables underdetermined direction-of-arrival (DOA) estimation within reach in the presence of unknown nonuniform… read more here.
Keywords: nonuniform noise; difference coarray; unknown nonuniform; coarray ... See more keywords
Coupled Coarray Tensor CPD for DOA Estimation With Coprime L-Shaped Array
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DOI: 10.1109/lsp.2021.3099074
Abstract: Conventional canonical polyadic decomposition (CPD) approach for tensor-based sparse array direction-of-arrival (DOA) estimation typically partitions the coarray statistics to generate a full-rank coarray tensor for decomposition. However, such an operation ignores the spatial relevance among… read more here.
Keywords: coarray tensor; tensor; coupled coarray; tensor cpd ... See more keywords