Joint Blind Calibration and Time-Delay Estimation for Multiband Ranging

Tarik Kazaz; Mario Coutino; Gerard J.M. Janssen; Alle-Jan van der Veen

doi:10.1109/ICASSP40776.2020.9054034

Joint Blind Calibration and Time-Delay Estimation for Multiband Ranging

Tarik Kazaz, Mario Coutino, Gerard J.M. Janssen, Alle-Jan van der Veen

Signal Processing Systems

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

4 Citations (Scopus)

21 Downloads (Pure)

Abstract

In this paper, we focus on the problem of blind joint calibration of multiband transceivers and time-delay (TD) estimation of multipath channels. We show that this problem can be formulated as a particular case of covariance matching. Although this problem is severely ill-posed, prior information about radio-frequency chain distortions and multipath channel sparsity is used for regularization. This approach leads to a biconvex optimization problem, which is formulated as a rank-constrained linear system and solved by a simple group Lasso algorithm. Numerical experiments show that the proposed algorithm provides better calibration and higher resolution for TD estimation than current state-of-the-art methods.

Original language	English
Title of host publication	ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Subtitle of host publication	Proceedings
Publisher	IEEE
Pages	4846-4850
Number of pages	5
ISBN (Electronic)	978-1-5090-6631-5
ISBN (Print)	978-1-5090-6632-2
DOIs	https://doi.org/10.1109/ICASSP40776.2020.9054034
Publication status	Published - 2020
Event	ICASSP 2020: IEEE International Conference on Acoustics, Speech and Signal Processing - Barcelona, Spain Duration: 4 May 2020 → 8 May 2020

Conference

Conference	ICASSP 2020
Country/Territory	Spain
City	Barcelona
Period	4/05/20 → 8/05/20

Bibliographical note

Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care

Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

Keywords

blind calibration
localization
multipath estimation
ranging
sparse covariance matching
time-of-arrival estimation

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10.1109/ICASSP40776.2020.9054034

09054034Final published version, 649 KB

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title = "Joint Blind Calibration and Time-Delay Estimation for Multiband Ranging",

abstract = "In this paper, we focus on the problem of blind joint calibration of multiband transceivers and time-delay (TD) estimation of multipath channels. We show that this problem can be formulated as a particular case of covariance matching. Although this problem is severely ill-posed, prior information about radio-frequency chain distortions and multipath channel sparsity is used for regularization. This approach leads to a biconvex optimization problem, which is formulated as a rank-constrained linear system and solved by a simple group Lasso algorithm. Numerical experiments show that the proposed algorithm provides better calibration and higher resolution for TD estimation than current state-of-the-art methods.",

keywords = "blind calibration, localization, multipath estimation, ranging, sparse covariance matching, time-of-arrival estimation",

author = "Tarik Kazaz and Mario Coutino and Janssen, {Gerard J.M.} and {van der Veen}, Alle-Jan",

note = "Green Open Access added to TU Delft Institutional Repository {\textquoteleft}You share, we take care!{\textquoteright} – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.; ICASSP 2020 : IEEE International Conference on Acoustics, Speech and Signal Processing ; Conference date: 04-05-2020 Through 08-05-2020",

year = "2020",

doi = "10.1109/ICASSP40776.2020.9054034",

language = "English",

isbn = "978-1-5090-6632-2",

pages = "4846--4850",

booktitle = "ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)",

publisher = "IEEE",

address = "United States",

}

Joint Blind Calibration and Time-Delay Estimation for Multiband Ranging. / Kazaz, Tarik; Coutino, Mario; Janssen, Gerard J.M. et al.
ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP): Proceedings. IEEE, 2020. p. 4846-4850.

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

TY - GEN

T1 - Joint Blind Calibration and Time-Delay Estimation for Multiband Ranging

AU - Kazaz, Tarik

AU - Coutino, Mario

AU - Janssen, Gerard J.M.

AU - van der Veen, Alle-Jan

N1 - Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

PY - 2020

Y1 - 2020

N2 - In this paper, we focus on the problem of blind joint calibration of multiband transceivers and time-delay (TD) estimation of multipath channels. We show that this problem can be formulated as a particular case of covariance matching. Although this problem is severely ill-posed, prior information about radio-frequency chain distortions and multipath channel sparsity is used for regularization. This approach leads to a biconvex optimization problem, which is formulated as a rank-constrained linear system and solved by a simple group Lasso algorithm. Numerical experiments show that the proposed algorithm provides better calibration and higher resolution for TD estimation than current state-of-the-art methods.

AB - In this paper, we focus on the problem of blind joint calibration of multiband transceivers and time-delay (TD) estimation of multipath channels. We show that this problem can be formulated as a particular case of covariance matching. Although this problem is severely ill-posed, prior information about radio-frequency chain distortions and multipath channel sparsity is used for regularization. This approach leads to a biconvex optimization problem, which is formulated as a rank-constrained linear system and solved by a simple group Lasso algorithm. Numerical experiments show that the proposed algorithm provides better calibration and higher resolution for TD estimation than current state-of-the-art methods.

KW - blind calibration

KW - localization

KW - multipath estimation

KW - ranging

KW - sparse covariance matching

KW - time-of-arrival estimation

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U2 - 10.1109/ICASSP40776.2020.9054034

DO - 10.1109/ICASSP40776.2020.9054034

M3 - Conference contribution

SN - 978-1-5090-6632-2

SP - 4846

EP - 4850

BT - ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

PB - IEEE

T2 - ICASSP 2020

Y2 - 4 May 2020 through 8 May 2020

ER -

Joint Blind Calibration and Time-Delay Estimation for Multiband Ranging

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Keywords

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