A Near-Field 3D Parameter Estimation Method Based on a Symmetric Enhanced Nested Array
Linke Yu, Hua Chen, Dingfan Xue, Wei Liu, Ye Tian, Gang Wang
Abstract
In this paper, a high-precision three-dimensional (3-D) near-field (NF) localization method is proposed under an underdetermined case based on a symmetric enhanced nested array (SENA). Firstly, the symmetry of the array and the fourth-order cumulant (FOC) are utilized to construct the equivalent virtual far-field (FF) reception data. Then, a gridless sparse and parametric approach (SPA), combined with an l<inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">1</inf>-SVD based pairing procedure, is used to obtain estimates for two paired angles. Finally, a one-dimensional (1-D) spectral estimator is applied to obtain the estimate of range parameter. Simulation results show the effectiveness of the proposed method.
BibTeX
@inproceedings{icassp2025_anearfield3dpara,
title = {A Near-Field 3D Parameter Estimation Method Based on a Symmetric Enhanced Nested Array},
author = {Linke Yu and Hua Chen and Dingfan Xue and Wei Liu and Ye Tian and Gang Wang},
booktitle = {ICASSP 2025},
year = {2025}
}