Enhanced standard ESPRIT for overcoming imperfections in DOA estimation

Majdoddin Esfandiari; Sergiy A. Vorobyov

doi:10.1109/ICASSP39728.2021.9413726

Enhanced standard ESPRIT for overcoming imperfections in DOA estimation

Majdoddin Esfandiari, Sergiy A. Vorobyov

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

5 Sitaatiot (Scopus)

Abstrakti

Direction-of-arrival (DOA) estimation problem is a challenging one in the presence of coherent sources, when the sample size is small, and the signal-to-noise ratio is low. We address this problem by developing a new method called enhanced standard ESPRIT (ES ESPRIT), and also its unitary extension called enhanced unitary ESPRIT (EU ESPRIT). The proposed methods use statistics of the subspace perturbation. First, they generate 2K DOA candidates for K sources, and then discreetly select K of them. Numerical results show the superiority of EU ESPRIT over other existing methods especially in improving threshold performance and separating closely located sources with a small sample size.

Alkuperäiskieli	Englanti
Otsikko	ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Kustantaja	IEEE
Sivut	4375-4379
Sivumäärä	5
Vuosikerta	2021-June
ISBN (elektroninen)	978-1-7281-7605-5
DOI - pysyväislinkit	https://doi.org/10.1109/ICASSP39728.2021.9413726
Tila	Julkaistu - 2021
OKM-julkaisutyyppi	A4 Artikkeli konferenssijulkaisussa
Tapahtuma	IEEE International Conference on Acoustics, Speech, and Signal Processing - Virtua, Online, Toronto, Kanada Kesto: 6 kesäk. 2021 → 11 kesäk. 2021

Julkaisusarja

Nimi	IEEE International Conference on Acoustics, Speech and Signal Processing
ISSN (painettu)	1520-6149
ISSN (elektroninen)	2379-190X

Conference

Conference	IEEE International Conference on Acoustics, Speech, and Signal Processing
Lyhennettä	ICASSP
Maa/Alue	Kanada
Kaupunki	Toronto
Ajanjakso	06/06/2021 → 11/06/2021

Pääsy asiakirjaan

10.1109/ICASSP39728.2021.9413726

Muut tiedostot ja linkit

Linkki julkaisuun Scopuksessa

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

Siteeraa tätä

Esfandiari, M., & Vorobyov, S. A. (2021). Enhanced standard ESPRIT for overcoming imperfections in DOA estimation. teoksessa ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings (Vuosikerta 2021-June, Sivut 4375-4379). (IEEE International Conference on Acoustics, Speech and Signal Processing). IEEE. https://doi.org/10.1109/ICASSP39728.2021.9413726

@inproceedings{bf48fc874e80434982ef1c292eff1f93,

title = "Enhanced standard ESPRIT for overcoming imperfections in DOA estimation",

abstract = "Direction-of-arrival (DOA) estimation problem is a challenging one in the presence of coherent sources, when the sample size is small, and the signal-to-noise ratio is low. We address this problem by developing a new method called enhanced standard ESPRIT (ES ESPRIT), and also its unitary extension called enhanced unitary ESPRIT (EU ESPRIT). The proposed methods use statistics of the subspace perturbation. First, they generate 2K DOA candidates for K sources, and then discreetly select K of them. Numerical results show the superiority of EU ESPRIT over other existing methods especially in improving threshold performance and separating closely located sources with a small sample size.",

keywords = "DOA estimation, ESPRIT, Generalized least squares (GLS), Small sample size",

author = "Majdoddin Esfandiari and Vorobyov, {Sergiy A.}",

note = "Funding Information: This work was supported in part by Academy of Finland under Research Grant 319822. Publisher Copyright: {\textcopyright} 2021 IEEE; IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP ; Conference date: 06-06-2021 Through 11-06-2021",

year = "2021",

doi = "10.1109/ICASSP39728.2021.9413726",

language = "English",

volume = "2021-June",

series = "IEEE International Conference on Acoustics, Speech and Signal Processing",

publisher = "IEEE",

pages = "4375--4379",

booktitle = "ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings",

address = "United States",

}

Esfandiari, M & Vorobyov, SA 2021, Enhanced standard ESPRIT for overcoming imperfections in DOA estimation. julkaisussa ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. Vuosikerta 2021-June, IEEE International Conference on Acoustics, Speech and Signal Processing, IEEE, Sivut 4375-4379, IEEE International Conference on Acoustics, Speech, and Signal Processing, Toronto, Ontario, Kanada, 06/06/2021. https://doi.org/10.1109/ICASSP39728.2021.9413726

Enhanced standard ESPRIT for overcoming imperfections in DOA estimation. / Esfandiari, Majdoddin ; Vorobyov, Sergiy A.
ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. Vuosikerta 2021-June IEEE, 2021. s. 4375-4379 (IEEE International Conference on Acoustics, Speech and Signal Processing).

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

TY - GEN

T1 - Enhanced standard ESPRIT for overcoming imperfections in DOA estimation

AU - Esfandiari, Majdoddin

AU - Vorobyov, Sergiy A.

PY - 2021

Y1 - 2021

N2 - Direction-of-arrival (DOA) estimation problem is a challenging one in the presence of coherent sources, when the sample size is small, and the signal-to-noise ratio is low. We address this problem by developing a new method called enhanced standard ESPRIT (ES ESPRIT), and also its unitary extension called enhanced unitary ESPRIT (EU ESPRIT). The proposed methods use statistics of the subspace perturbation. First, they generate 2K DOA candidates for K sources, and then discreetly select K of them. Numerical results show the superiority of EU ESPRIT over other existing methods especially in improving threshold performance and separating closely located sources with a small sample size.

AB - Direction-of-arrival (DOA) estimation problem is a challenging one in the presence of coherent sources, when the sample size is small, and the signal-to-noise ratio is low. We address this problem by developing a new method called enhanced standard ESPRIT (ES ESPRIT), and also its unitary extension called enhanced unitary ESPRIT (EU ESPRIT). The proposed methods use statistics of the subspace perturbation. First, they generate 2K DOA candidates for K sources, and then discreetly select K of them. Numerical results show the superiority of EU ESPRIT over other existing methods especially in improving threshold performance and separating closely located sources with a small sample size.

KW - DOA estimation

KW - ESPRIT

KW - Generalized least squares (GLS)

KW - Small sample size

UR - http://www.scopus.com/inward/record.url?scp=85115099842&partnerID=8YFLogxK

U2 - 10.1109/ICASSP39728.2021.9413726

DO - 10.1109/ICASSP39728.2021.9413726

M3 - Conference article in proceedings

AN - SCOPUS:85115099842

VL - 2021-June

T3 - IEEE International Conference on Acoustics, Speech and Signal Processing

SP - 4375

EP - 4379

BT - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

PB - IEEE

T2 - IEEE International Conference on Acoustics, Speech, and Signal Processing

Y2 - 6 June 2021 through 11 June 2021

ER -

Enhanced standard ESPRIT for overcoming imperfections in DOA estimation

Abstrakti

Julkaisusarja

Conference

Pääsy asiakirjaan

Muut tiedostot ja linkit

Sormenjälki

Projektit

Massiivisten ja harvojen antenniryhmien signaalinkäsittely mm-aalto alueen langattomassa tietoliikenteessä

Siteeraa tätä