Blind Calibration of Sparse Arrays for DOA Estimation with Analog and One-bit Measurements

Krishnaprasad Nambur Ramamohan; Sundeep Prabhakar Chepuri; Daniel Fernandez Comesana; Geert Leus

doi:10.1109/ICASSP.2019.8682592

Blind Calibration of Sparse Arrays for DOA Estimation with Analog and One-bit Measurements

Krishnaprasad Nambur Ramamohan, Sundeep Prabhakar Chepuri, Daniel Fernandez Comesana, Geert Leus

Signal Processing Systems

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

16 Citations (Scopus)

22 Downloads (Pure)

Abstract

In this paper, the focus is on the gain and phase calibration of sparse sensor arrays to localize more sources than the number of physical sensors. The proposed technique is a blind calibration method as it does not require any calibrator sources. Joint estimation of the gain errors, phase errors, and source directions is a complicated non-convex optimization problem, which is transformed into a convex optimization problem by exploiting the underlying algebraic structure. It is shown that the developed solver is suitable for analog as well as one-bit measurements. Numerical experiments based on sparse rulers are provided to illustrate the developed theory.

Original language	English
Title of host publication	2019 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019
Subtitle of host publication	Proceedings
Place of Publication	Piscataway
Publisher	IEEE
Pages	4185-4189
Number of pages	5
ISBN (Electronic)	978-1-4799-8131-1
ISBN (Print)	978-1-4799-8132-8
DOIs	https://doi.org/10.1109/ICASSP.2019.8682592
Publication status	Published - 1 May 2019
Event	44th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019 - Brighton, United Kingdom Duration: 12 May 2019 → 17 May 2019

Conference

Conference	44th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019
Country/Territory	United Kingdom
City	Brighton
Period	12/05/19 → 17/05/19

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.

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Blind_Calibration_of_Sparse_Arrays_for_DOA_Estimation_with_Analog_and_One-bit_MeasurementsFinal published version, 695 KB

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title = "Blind Calibration of Sparse Arrays for DOA Estimation with Analog and One-bit Measurements",

abstract = "In this paper, the focus is on the gain and phase calibration of sparse sensor arrays to localize more sources than the number of physical sensors. The proposed technique is a blind calibration method as it does not require any calibrator sources. Joint estimation of the gain errors, phase errors, and source directions is a complicated non-convex optimization problem, which is transformed into a convex optimization problem by exploiting the underlying algebraic structure. It is shown that the developed solver is suitable for analog as well as one-bit measurements. Numerical experiments based on sparse rulers are provided to illustrate the developed theory.",

author = "Ramamohan, {Krishnaprasad Nambur} and Chepuri, {Sundeep Prabhakar} and Comesana, {Daniel Fernandez} and Geert Leus",

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.; 44th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019 ; Conference date: 12-05-2019 Through 17-05-2019",

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Ramamohan, KN, Chepuri, SP, Comesana, DF & Leus, G 2019, Blind Calibration of Sparse Arrays for DOA Estimation with Analog and One-bit Measurements. in 2019 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019 : Proceedings., 8682592, IEEE, Piscataway, pp. 4185-4189, 44th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019, Brighton, United Kingdom, 12/05/19. https://doi.org/10.1109/ICASSP.2019.8682592

Blind Calibration of Sparse Arrays for DOA Estimation with Analog and One-bit Measurements. / Ramamohan, Krishnaprasad Nambur; Chepuri, Sundeep Prabhakar; Comesana, Daniel Fernandez et al.
2019 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019 : Proceedings. Piscataway: IEEE, 2019. p. 4185-4189 8682592.

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

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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.

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AB - In this paper, the focus is on the gain and phase calibration of sparse sensor arrays to localize more sources than the number of physical sensors. The proposed technique is a blind calibration method as it does not require any calibrator sources. Joint estimation of the gain errors, phase errors, and source directions is a complicated non-convex optimization problem, which is transformed into a convex optimization problem by exploiting the underlying algebraic structure. It is shown that the developed solver is suitable for analog as well as one-bit measurements. Numerical experiments based on sparse rulers are provided to illustrate the developed theory.

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Blind Calibration of Sparse Arrays for DOA Estimation with Analog and One-bit Measurements

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