An Iterative 2-D DOA Estimation Approach for L-shaped Nested Array

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A4 Artikkeli konferenssijulkaisussa
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Date

2023-04-01

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Department of Signal Processing and Acoustics
Department of Information and Communications Engineering

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en

Pages

5

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Conference Record of the 57th Asilomar Conference on Signals, Systems and Computers, ACSSC 2023, pp. 1702-1706, Conference Record - Asilomar Conference on Signals, Systems and Computers

Abstract

The problem of two-dimensional (2-D) direction of arrival (DOA) estimation for L-shaped nested array is considered, and an iterative approach based on tensor modeling is proposed. To develop such an approach, a high-order tensor is designed to collect the received signals of the subarrays in difference co-array domain. By exploiting the Vandermonde structure of the factor matrices, the sources azimuth and elevation angles can be estimated via tensor decomposition. The cross term of the received signal, which seriously degrades the estimation performance, can be estimated and removed by iterative procedure using also the DOA estimates obtained by tensor decomposition. Consequently, the 2-D DOA estimation performance can be improved gradually after sufficiently many iterations. Simulation results validate the proposed 2-D DOA estimation approach and demonstrate its effectiveness.

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Publisher Copyright: © 2023 IEEE.

Keywords

Direction of arrival estimation, L-shaped nested array, Tensor modeling

Other note

DOI

10.1109/IEEECONF59524.2023.10476821

Citation

Xu, F & Vorobyov, S A 2023, An Iterative 2-D DOA Estimation Approach for L-shaped Nested Array . in M B Matthews (ed.), Conference Record of the 57th Asilomar Conference on Signals, Systems and Computers, ACSSC 2023 . Conference Record - Asilomar Conference on Signals, Systems and Computers, IEEE, pp. 1702-1706, Asilomar Conference on Signals, Systems and Computers, Pacific Grove, California, United States, 29/10/2023 . https://doi.org/10.1109/IEEECONF59524.2023.10476821

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https://urn.fi/URN:NBN:fi:aalto-202501171310

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[article-cris] Sähkötekniikan korkeakoulu / ELEC