Three-Dimensional Near-Field Source Localization for EMVS Array with Arbitrary Sensor Geometry

In this paper, a novel spatial-temporal algorithm for three-dimensional near-field source localization with arbitrary geometry electromagnetic vector sensor (EMVS) array is proposed, which provides closed-form solution to two-dimensional direction-of-arrival (2D-DOA), range and polarization parameter estimation. The core idea of the proposed algorithm is to construct a specific cross-correlation matrix using spatial and temporal information of the incident signals, then 2D-DOA arriving at each EMVS can be estimated by exploiting the rotational structure in the constructed matrix. Numerical and simulation results demonstrate that compared to the existing method based on cumulant, the proposed algorithm has lower computational cost and the same degree of freedom, it achieves better parameter estimation performance, especially at low signal-to-noise ratios.

Authors

Institutions

Publication Details

Published
2024-10-18
DOI
https://doi.org/10.1109/icct62411.2024.10946439
Primary Topic
Energy Harvesting in Wireless Networks
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Three-Dimensional Near-Field Source Localization for EMVS Array with Arbitrary Sensor Geometry

Mengyao Sun, Yunhang Lin, Sai Li, Chaoyi Wang
Energy Harvesting in Wireless Networks
article

Three-Dimensional Near-Field Source Localization for EMVS Array with Arbitrary Sensor Geometry

Mengyao Sun, Yunhang Lin, Sai Li, Chaoyi Wang
article en

Abstract

In this paper, a novel spatial-temporal algorithm for three-dimensional near-field source localization with arbitrary geometry electromagnetic vector sensor (EMVS) array is proposed, which provides closed-form solution to two-dimensional direction-of-arrival (2D-DOA), range and polarization parameter estimation. The core idea of the proposed algorithm is to construct a specific cross-correlation matrix using spatial and temporal information of the incident signals, then 2D-DOA arriving at each EMVS can be estimated by exploiting the rotational structure in the constructed matrix. Numerical and simulation results demonstrate that compared to the existing method based on cumulant, the proposed algorithm has lower computational cost and the same degree of freedom, it achieves better parameter estimation performance, especially at low signal-to-noise ratios.

Hangzhou Dianzi University (CN), Nanjing University of Aeronautics and Astronautics (CN)
Research and Development
Openalex Percentile: Top 73%
Energy Harvesting in Wireless Networks
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.