Two-Dimensional DOA Estimation of Coherent Sources Based on Uniform Linear Electromagnetic Vector Sensor Array.

Jingxiang Zhang, Xiang Lan, Xianpeng Wang

Abstract read

In one paragraph

Article in Sensors (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Jingxiang ZhangSchool of Information and Communication Engineering, Hainan University, Haikou 570228, China.

Xiang LanSchool of Information and Communication Engineering, Hainan University, Haikou 570228, China.ORCID 0000-0002-4769-3639

Xianpeng WangSchool of Information and Communication Engineering, Hainan University, Haikou 570228, China.ORCID 0000-0002-6681-6489

Funding

the National Nature Science Foundation of China Youth Science and Fund Project 62101165the Scientific Research Setup Fund of Hainan University grant KYQD(ZR)-21134

6 · The paper itself

Abstract

In this paper, the two-dimensional DOA estimation problem of coherent signals in an electromagnetic vector sensor (EMVS) array is studied. A new decorrelation method is proposed by extending the multiple-Toeplitz matrices reconstruction (MTOEP) method to a polarization sensitive array. After that, a closed-form solution is derived based on the ESPRIT algorithm for DOA and polarization parameter estimation. Pairing matching is based on the correspondence between eigenvectors obtained by independent eigen-decomposition. Simulation results verify the effectiveness of the proposed work and show the proposed algorithm has better performance than the traditional spatial smoothing (SS) method, especially in scenarios with low signal-to-noise ratios (SNRs) and small angular separations.

Indexed as

2D-DOA estimationcoherent signallinear tripole arrayToeplitz matrix reconstruction

Identifiers

PMID42122552

DOI10.3390/s26092829

PMCPMC13166041

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.