Optimum Tuning of a Blind Moment-Based Adaptive I/Q Imbalance Estimator

Moritz Tockner; Oliver Lang; Andreas Meingassner; Mario Huemer

doi:10.1109/IEEECONF60004.2024.10943079

Optimum Tuning of a Blind Moment-Based Adaptive I/Q Imbalance Estimator

Institut für Signalverarbeitung

Publikation: Beitrag in Buch/Bericht/Konferenzband › Konferenzbeitrag › Begutachtung

Abstract

The performances of blind in-phase and quadrature-phase (I/Q) imbalance estimators in orthogonal frequency-division multiplexing (OFDM) direct-conversion receivers are heavily dependent on the subcarrier allocation of the input signal. In this work, we analytically derive the performance statistics of a state-of-the-art moment-based I/Q imbalance estimator for an arbitrary subcarrier allocation and modulation alphabet in presence of additive white Gaussian noise (AWGN). This allows us to derive a statistical bound on the achieved image rejection ratio (IRR) as a function of the number of processed OFDM symbols. Based on this bound, we provide a method for finding the estimator’s optimum tuning parameter that yields the desired IRR with a specified probability in minimal time.

Originalsprache	Englisch
Titel	Proceedings of the Asilomar Conference on Signals, Systems, and Computers (ACSSC 2024)
Herausgeber*innen	Michael B. Matthews
Verlag	IEEE
Seiten	1389-1394
Seitenumfang	6
Auflage	1
ISBN (elektronisch)	979-8-3503-5405-8
DOIs	https://doi.org/10.1109/IEEECONF60004.2024.10943079
Publikationsstatus	Veröffentlicht - Apr. 2025

Publikationsreihe

Name	Conference Record - Asilomar Conference on Signals, Systems and Computers
ISSN (Print)	1058-6393

Wissenschaftszweige

202040 Übertragungstechnik
202 Elektrotechnik, Elektronik, Informationstechnik
202015 Elektronik
202022 Informationstechnik
202023 Integrierte Schaltkreise
202030 Nachrichtentechnik
202037 Signalverarbeitung

JKU-Schwerpunkte

Digital Transformation

Zugriff auf Dokument

10.1109/IEEECONF60004.2024.10943079

https://ieeexplore.ieee.org/document/10943079

Andere Dateien und Links

Verknüpfung zur Publikation in Scopus

Christian Doppler Labor für digital unterstützte Hochfrequenz-Transceiver in zukünftigen mobilen Kommunikationssystemen
Auer, C. (Forscher*in), Buckel, T. (Forscher*in), Gebhard, A. (Forscher*in), Hager, E. (Forscher*in), Hamidovic, D. (Forscher*in), Hofstadler, M. (Forscher*in), Markovic, J. (Forscher*in), Motz, C. (Forscher*in), Nyamangoudar, R. (Forscher*in), Paireder, T. (Forscher*in), Ploder, O. (Forscher*in), Preissl, C. (Forscher*in), Pretl, H. (Forscher*in), Preyler, P. (Forscher*in), Pühringer, B. (Forscher*in), Huemer, M. (Projektleiter*in) & Springer, A. (Projektleiter*in)
01.01.2017 → 31.12.2024
Projekt: Geförderte Forschung › CDG - Christian Doppler Forschungsgesellschaft

Dieses zitieren

Tockner, M., Lang, O., Meingassner, A., & Huemer, M. (2025). Optimum Tuning of a Blind Moment-Based Adaptive I/Q Imbalance Estimator. in M. B. Matthews (Hrsg.), Proceedings of the Asilomar Conference on Signals, Systems, and Computers (ACSSC 2024) (1 Aufl., S. 1389-1394). (Conference Record - Asilomar Conference on Signals, Systems and Computers). IEEE. https://doi.org/10.1109/IEEECONF60004.2024.10943079

@inproceedings{d2b6af0e502c4d4bb12a30bd42e5b053,

title = "Optimum Tuning of a Blind Moment-Based Adaptive I/Q Imbalance Estimator",

abstract = "The performances of blind in-phase and quadrature-phase (I/Q) imbalance estimators in orthogonal frequency-division multiplexing (OFDM) direct-conversion receivers are heavily dependent on the subcarrier allocation of the input signal. In this work, we analytically derive the performance statistics of a state-of-the-art moment-based I/Q imbalance estimator for an arbitrary subcarrier allocation and modulation alphabet in presence of additive white Gaussian noise (AWGN). This allows us to derive a statistical bound on the achieved image rejection ratio (IRR) as a function of the number of processed OFDM symbols. Based on this bound, we provide a method for finding the estimator{\textquoteright}s optimum tuning parameter that yields the desired IRR with a specified probability in minimal time.",

author = "Moritz Tockner and Oliver Lang and Andreas Meingassner and Mario Huemer",

year = "2025",

month = apr,

doi = "10.1109/IEEECONF60004.2024.10943079",

language = "English",

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

publisher = "IEEE",

pages = "1389--1394",

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

booktitle = "Proceedings of the Asilomar Conference on Signals, Systems, and Computers (ACSSC 2024)",

edition = "1",

}

Tockner, M , Lang, O , Meingassner, A & Huemer, M 2025, Optimum Tuning of a Blind Moment-Based Adaptive I/Q Imbalance Estimator. in MB Matthews (Hrsg.), Proceedings of the Asilomar Conference on Signals, Systems, and Computers (ACSSC 2024). 1 Aufl., Conference Record - Asilomar Conference on Signals, Systems and Computers, IEEE, S. 1389-1394. https://doi.org/10.1109/IEEECONF60004.2024.10943079

Optimum Tuning of a Blind Moment-Based Adaptive I/Q Imbalance Estimator. / Tockner, Moritz ; Lang, Oliver ; Meingassner, Andreas et al.
Proceedings of the Asilomar Conference on Signals, Systems, and Computers (ACSSC 2024). Hrsg. / Michael B. Matthews. 1. Aufl. IEEE, 2025. S. 1389-1394 (Conference Record - Asilomar Conference on Signals, Systems and Computers).

Publikation: Beitrag in Buch/Bericht/Konferenzband › Konferenzbeitrag › Begutachtung

TY - GEN

T1 - Optimum Tuning of a Blind Moment-Based Adaptive I/Q Imbalance Estimator

AU - Tockner, Moritz

AU - Lang, Oliver

AU - Meingassner, Andreas

AU - Huemer, Mario

PY - 2025/4

Y1 - 2025/4

N2 - The performances of blind in-phase and quadrature-phase (I/Q) imbalance estimators in orthogonal frequency-division multiplexing (OFDM) direct-conversion receivers are heavily dependent on the subcarrier allocation of the input signal. In this work, we analytically derive the performance statistics of a state-of-the-art moment-based I/Q imbalance estimator for an arbitrary subcarrier allocation and modulation alphabet in presence of additive white Gaussian noise (AWGN). This allows us to derive a statistical bound on the achieved image rejection ratio (IRR) as a function of the number of processed OFDM symbols. Based on this bound, we provide a method for finding the estimator’s optimum tuning parameter that yields the desired IRR with a specified probability in minimal time.

AB - The performances of blind in-phase and quadrature-phase (I/Q) imbalance estimators in orthogonal frequency-division multiplexing (OFDM) direct-conversion receivers are heavily dependent on the subcarrier allocation of the input signal. In this work, we analytically derive the performance statistics of a state-of-the-art moment-based I/Q imbalance estimator for an arbitrary subcarrier allocation and modulation alphabet in presence of additive white Gaussian noise (AWGN). This allows us to derive a statistical bound on the achieved image rejection ratio (IRR) as a function of the number of processed OFDM symbols. Based on this bound, we provide a method for finding the estimator’s optimum tuning parameter that yields the desired IRR with a specified probability in minimal time.

UR - https://www.scopus.com/pages/publications/105002682042

U2 - 10.1109/IEEECONF60004.2024.10943079

DO - 10.1109/IEEECONF60004.2024.10943079

M3 - Conference proceedings

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

SP - 1389

EP - 1394

BT - Proceedings of the Asilomar Conference on Signals, Systems, and Computers (ACSSC 2024)

A2 - Matthews, Michael B.

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ER -

Tockner M , Lang O , Meingassner A , Huemer M. Optimum Tuning of a Blind Moment-Based Adaptive I/Q Imbalance Estimator. in Matthews MB, Hrsg., Proceedings of the Asilomar Conference on Signals, Systems, and Computers (ACSSC 2024). 1 Aufl. IEEE. 2025. S. 1389-1394. (Conference Record - Asilomar Conference on Signals, Systems and Computers). doi: 10.1109/IEEECONF60004.2024.10943079

Optimum Tuning of a Blind Moment-Based Adaptive I/Q Imbalance Estimator

Abstract

Publikationsreihe

Wissenschaftszweige

JKU-Schwerpunkte

Zugriff auf Dokument

Andere Dateien und Links

Projekte

Christian Doppler Labor für digital unterstützte Hochfrequenz-Transceiver in zukünftigen mobilen Kommunikationssystemen

Dieses zitieren

Christian Doppler Labor für digital unterstützte Hochfrequenz-Transceiver in zukünftigen mobilen Kommunikationssystemen