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

Feng Xu; Sergiy A. Vorobyov

doi:10.1109/IEEECONF59524.2023.10476821

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

Tutkimustuotos: Artikkeli kirjassa/konferenssijulkaisussa › Conference article in proceedings › Scientific › vertaisarvioitu

Abstrakti

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.

Alkuperäiskieli	Englanti
Otsikko	Conference Record of the 57th Asilomar Conference on Signals, Systems and Computers, ACSSC 2023
Toimittajat	Michael B. Matthews
Kustantaja	IEEE
Sivut	1702-1706
Sivumäärä	5
ISBN (elektroninen)	979-8-3503-2574-4
DOI - pysyväislinkit	https://doi.org/10.1109/IEEECONF59524.2023.10476821
Tila	Julkaistu - 1 huhtik. 2023
OKM-julkaisutyyppi	A4 Artikkeli konferenssijulkaisussa
Tapahtuma	Asilomar Conference on Signals, Systems and Computers - Pacific Grove, Yhdysvallat Kesto: 29 lokak. 2023 → 1 marrask. 2023

Julkaisusarja

Nimi	Conference Record - Asilomar Conference on Signals, Systems and Computers
ISSN (painettu)	1058-6393

Conference

Conference	Asilomar Conference on Signals, Systems and Computers
Lyhennettä	ACSSC
Maa/Alue	Yhdysvallat
Kaupunki	Pacific Grove
Ajanjakso	29/10/2023 → 01/11/2023

Pääsy asiakirjaan

10.1109/IEEECONF59524.2023.10476821

Muut tiedostot ja linkit

Linkki julkaisuun Scopuksessa

Massiivisten ja harvojen antenniryhmien signaalinkäsittely mm-aalto alueen langattomassa tietoliikenteessä
Vorobyov, S., Kocharlakota, K., Neinavaie, M., Wang, X., Ghorbani Veshki, F., Esfandiari, M. & Dosti, E.
01/01/2019 → 31/12/2021
Projekti: Academy of Finland: Other research funding

Siteeraa tätä

Xu, F., & Vorobyov, S. A. (2023). An Iterative 2-D DOA Estimation Approach for L-shaped Nested Array. teoksessa M. B. Matthews (Toimittaja), Conference Record of the 57th Asilomar Conference on Signals, Systems and Computers, ACSSC 2023 (Sivut 1702-1706). (Conference Record - Asilomar Conference on Signals, Systems and Computers). IEEE. https://doi.org/10.1109/IEEECONF59524.2023.10476821

@inproceedings{d4651a0969454f55b3234dd45b9fcd5c,

title = "An Iterative 2-D DOA Estimation Approach for L-shaped Nested Array",

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.",

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

author = "Feng Xu and Vorobyov, {Sergiy A.}",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; Asilomar Conference on Signals, Systems and Computers, ACSSC ; Conference date: 29-10-2023 Through 01-11-2023",

year = "2023",

month = apr,

day = "1",

doi = "10.1109/IEEECONF59524.2023.10476821",

language = "English",

series = "Conference Record - Asilomar Conference on Signals, Systems and Computers",

publisher = "IEEE",

pages = "1702--1706",

editor = "Matthews, {Michael B.}",

booktitle = "Conference Record of the 57th Asilomar Conference on Signals, Systems and Computers, ACSSC 2023",

address = "United States",

}

Xu, F & Vorobyov, SA 2023, An Iterative 2-D DOA Estimation Approach for L-shaped Nested Array. julkaisussa MB Matthews (Toimittaja), Conference Record of the 57th Asilomar Conference on Signals, Systems and Computers, ACSSC 2023. Conference Record - Asilomar Conference on Signals, Systems and Computers, IEEE, Sivut 1702-1706, Asilomar Conference on Signals, Systems and Computers, Pacific Grove, California, Yhdysvallat, 29/10/2023. https://doi.org/10.1109/IEEECONF59524.2023.10476821

An Iterative 2-D DOA Estimation Approach for L-shaped Nested Array. / Xu, Feng; Vorobyov, Sergiy A.
Conference Record of the 57th Asilomar Conference on Signals, Systems and Computers, ACSSC 2023. toim. / Michael B. Matthews. IEEE, 2023. s. 1702-1706 (Conference Record - Asilomar Conference on Signals, Systems and Computers).

Tutkimustuotos: Artikkeli kirjassa/konferenssijulkaisussa › Conference article in proceedings › Scientific › vertaisarvioitu

TY - GEN

T1 - An Iterative 2-D DOA Estimation Approach for L-shaped Nested Array

AU - Xu, Feng

AU - Vorobyov, Sergiy A.

PY - 2023/4/1

Y1 - 2023/4/1

N2 - 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.

AB - 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.

KW - Direction of arrival estimation

KW - L-shaped nested array

KW - Tensor modeling

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U2 - 10.1109/IEEECONF59524.2023.10476821

DO - 10.1109/IEEECONF59524.2023.10476821

M3 - Conference article in proceedings

AN - SCOPUS:85190367122

T3 - Conference Record - Asilomar Conference on Signals, Systems and Computers

SP - 1702

EP - 1706

BT - Conference Record of the 57th Asilomar Conference on Signals, Systems and Computers, ACSSC 2023

A2 - Matthews, Michael B.

PB - IEEE

T2 - Asilomar Conference on Signals, Systems and Computers

Y2 - 29 October 2023 through 1 November 2023

ER -

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

Abstrakti

Julkaisusarja

Conference

Pääsy asiakirjaan

Muut tiedostot ja linkit

Sormenjälki

Projektit

Massiivisten ja harvojen antenniryhmien signaalinkäsittely mm-aalto alueen langattomassa tietoliikenteessä

Siteeraa tätä