An Effective Algorithm for Gain-Phase Error and Angle Estimation in MIMO Radar

Jianhe Du; Weijia Yu; Yuanzhi Chen; Libiao Jin; Xingwang Li; Daniel Benevides Da Costa

doi:10.1109/ICC45041.2023.10279369

An Effective Algorithm for Gain-Phase Error and Angle Estimation in MIMO Radar

Jianhe Du
, Weijia Yu
, Yuanzhi Chen
, Libiao Jin^*
, Xingwang Li
, Daniel Benevides Da Costa

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Scopus citations

Abstract

This paper proposes an effective algorithm for gain-phase error (GPE) and angle estimation in multiple-input multiple-output (MIMO) radar. First, the received signals are constructed into a third-order tensor model containing information such as GPE in transmitting arrays (Tx) and receiving arrays (Rx), directions-of-departures (DODs) and directions-of-arrivals (DOAs). Then, a tensor-based two-stage estimation algorithm to estimate GPE and angles is developed. In the first stage, GPE and angle information are obtained by the least squares Khatri-Rao factorization (LS-KRF) separation. In the second stage, the GPE in Tx and Rx is estimated by a two-step GPE estimation scheme, while the DODs and DOAs are estimated by a non-iterative angle estimation scheme based on the spatial smoothing preprocessing. Simulation results show the superiority of the proposed GPE and angle estimation algorithm.

Original language	English
Title of host publication	ICC 2023 - IEEE International Conference on Communications
Subtitle of host publication	Sustainable Communications for Renaissance
Editors	Michele Zorzi, Meixia Tao, Walid Saad
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	2773-2778
Number of pages	6
ISBN (Electronic)	9781538674628
DOIs	https://doi.org/10.1109/ICC45041.2023.10279369
State	Published - 2023
Externally published	Yes
Event	2023 IEEE International Conference on Communications, ICC 2023 - Rome, Italy Duration: 28 May 2023 → 1 Jun 2023

Publication series

Name	IEEE International Conference on Communications
Volume	2023-May
ISSN (Print)	1550-3607

Conference

Conference	2023 IEEE International Conference on Communications, ICC 2023
Country/Territory	Italy
City	Rome
Period	28/05/23 → 1/06/23

Bibliographical note

Publisher Copyright:
© 2023 IEEE.

ASJC Scopus subject areas

Computer Networks and Communications
Electrical and Electronic Engineering

Access to Document

10.1109/ICC45041.2023.10279369

Cite this

Du, J., Yu, W., Chen, Y., Jin, L., Li, X., & Da Costa, D. B. (2023). An Effective Algorithm for Gain-Phase Error and Angle Estimation in MIMO Radar. In M. Zorzi, M. Tao, & W. Saad (Eds.), ICC 2023 - IEEE International Conference on Communications: Sustainable Communications for Renaissance (pp. 2773-2778). (IEEE International Conference on Communications; Vol. 2023-May). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICC45041.2023.10279369

Du, Jianhe ; Yu, Weijia ; Chen, Yuanzhi et al. / An Effective Algorithm for Gain-Phase Error and Angle Estimation in MIMO Radar. ICC 2023 - IEEE International Conference on Communications: Sustainable Communications for Renaissance. editor / Michele Zorzi ; Meixia Tao ; Walid Saad. Institute of Electrical and Electronics Engineers Inc., 2023. pp. 2773-2778 (IEEE International Conference on Communications).

@inproceedings{65ad5335f93d465599bc7f2b9933c5dd,

title = "An Effective Algorithm for Gain-Phase Error and Angle Estimation in MIMO Radar",

abstract = "This paper proposes an effective algorithm for gain-phase error (GPE) and angle estimation in multiple-input multiple-output (MIMO) radar. First, the received signals are constructed into a third-order tensor model containing information such as GPE in transmitting arrays (Tx) and receiving arrays (Rx), directions-of-departures (DODs) and directions-of-arrivals (DOAs). Then, a tensor-based two-stage estimation algorithm to estimate GPE and angles is developed. In the first stage, GPE and angle information are obtained by the least squares Khatri-Rao factorization (LS-KRF) separation. In the second stage, the GPE in Tx and Rx is estimated by a two-step GPE estimation scheme, while the DODs and DOAs are estimated by a non-iterative angle estimation scheme based on the spatial smoothing preprocessing. Simulation results show the superiority of the proposed GPE and angle estimation algorithm.",

author = "Jianhe Du and Weijia Yu and Yuanzhi Chen and Libiao Jin and Xingwang Li and \{Da Costa\}, \{Daniel Benevides\}",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 2023 IEEE International Conference on Communications, ICC 2023 ; Conference date: 28-05-2023 Through 01-06-2023",

year = "2023",

doi = "10.1109/ICC45041.2023.10279369",

language = "English",

series = "IEEE International Conference on Communications",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "2773--2778",

editor = "Michele Zorzi and Meixia Tao and Walid Saad",

booktitle = "ICC 2023 - IEEE International Conference on Communications",

address = "United States",

}

Du, J, Yu, W, Chen, Y, Jin, L, Li, X & Da Costa, DB 2023, An Effective Algorithm for Gain-Phase Error and Angle Estimation in MIMO Radar. in M Zorzi, M Tao & W Saad (eds), ICC 2023 - IEEE International Conference on Communications: Sustainable Communications for Renaissance. IEEE International Conference on Communications, vol. 2023-May, Institute of Electrical and Electronics Engineers Inc., pp. 2773-2778, 2023 IEEE International Conference on Communications, ICC 2023, Rome, Italy, 28/05/23. https://doi.org/10.1109/ICC45041.2023.10279369

An Effective Algorithm for Gain-Phase Error and Angle Estimation in MIMO Radar. / Du, Jianhe; Yu, Weijia; Chen, Yuanzhi et al.
ICC 2023 - IEEE International Conference on Communications: Sustainable Communications for Renaissance. ed. / Michele Zorzi; Meixia Tao; Walid Saad. Institute of Electrical and Electronics Engineers Inc., 2023. p. 2773-2778 (IEEE International Conference on Communications; Vol. 2023-May).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - An Effective Algorithm for Gain-Phase Error and Angle Estimation in MIMO Radar

AU - Du, Jianhe

AU - Yu, Weijia

AU - Chen, Yuanzhi

AU - Jin, Libiao

AU - Li, Xingwang

AU - Da Costa, Daniel Benevides

PY - 2023

Y1 - 2023

N2 - This paper proposes an effective algorithm for gain-phase error (GPE) and angle estimation in multiple-input multiple-output (MIMO) radar. First, the received signals are constructed into a third-order tensor model containing information such as GPE in transmitting arrays (Tx) and receiving arrays (Rx), directions-of-departures (DODs) and directions-of-arrivals (DOAs). Then, a tensor-based two-stage estimation algorithm to estimate GPE and angles is developed. In the first stage, GPE and angle information are obtained by the least squares Khatri-Rao factorization (LS-KRF) separation. In the second stage, the GPE in Tx and Rx is estimated by a two-step GPE estimation scheme, while the DODs and DOAs are estimated by a non-iterative angle estimation scheme based on the spatial smoothing preprocessing. Simulation results show the superiority of the proposed GPE and angle estimation algorithm.

AB - This paper proposes an effective algorithm for gain-phase error (GPE) and angle estimation in multiple-input multiple-output (MIMO) radar. First, the received signals are constructed into a third-order tensor model containing information such as GPE in transmitting arrays (Tx) and receiving arrays (Rx), directions-of-departures (DODs) and directions-of-arrivals (DOAs). Then, a tensor-based two-stage estimation algorithm to estimate GPE and angles is developed. In the first stage, GPE and angle information are obtained by the least squares Khatri-Rao factorization (LS-KRF) separation. In the second stage, the GPE in Tx and Rx is estimated by a two-step GPE estimation scheme, while the DODs and DOAs are estimated by a non-iterative angle estimation scheme based on the spatial smoothing preprocessing. Simulation results show the superiority of the proposed GPE and angle estimation algorithm.

UR - https://www.scopus.com/pages/publications/85178305045

U2 - 10.1109/ICC45041.2023.10279369

DO - 10.1109/ICC45041.2023.10279369

M3 - Conference contribution

AN - SCOPUS:85178305045

T3 - IEEE International Conference on Communications

SP - 2773

EP - 2778

BT - ICC 2023 - IEEE International Conference on Communications

A2 - Zorzi, Michele

A2 - Tao, Meixia

A2 - Saad, Walid

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2023 IEEE International Conference on Communications, ICC 2023

Y2 - 28 May 2023 through 1 June 2023

ER -

Du J, Yu W, Chen Y, Jin L, Li X, Da Costa DB. An Effective Algorithm for Gain-Phase Error and Angle Estimation in MIMO Radar. In Zorzi M, Tao M, Saad W, editors, ICC 2023 - IEEE International Conference on Communications: Sustainable Communications for Renaissance. Institute of Electrical and Electronics Engineers Inc. 2023. p. 2773-2778. (IEEE International Conference on Communications). doi: 10.1109/ICC45041.2023.10279369

An Effective Algorithm for Gain-Phase Error and Angle Estimation in MIMO Radar

Abstract

Publication series

Conference

Bibliographical note

ASJC Scopus subject areas

Access to Document

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Cite this