A Delayed and Subsampled Wideband Sparse Array for Joint Angle and Frequency Estimation

Feiyu Wang; Geert Leus

doi:10.1109/IEEECONF53345.2021.9723168

A Delayed and Subsampled Wideband Sparse Array for Joint Angle and Frequency Estimation

Signal Processing Systems

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

3 Citations (Scopus)

26 Downloads (Pure)

Abstract

In this paper we consider the problem of joint wideband spectrum sensing and direction-of-arrival (DoA) estimation, where a number of uncorrelated narrowband sources spread over a wide frequency band impinge on a sparse linear array (SLA). To overcome the sampling rate bottleneck for wideband spectrum sensing, we rely on sub-Nyquist sampling for the receiver, and to resolve the sources both in the angle and frequency domain, an additional delayed branch is included for every antenna to gain an extra degree of freedom (DoF). Appropriately designing the delays at the different antennas allows us to use the contemporary machinery of co-array processing. We accordingly propose a joint eigenvalue decomposition (EVD) based algorithm to jointly estimate the angles and frequencies of the different sources with automatic pairing. Furthermore, as a consequence of the co-array processing, we can handle more sources than the number of physical antennas. Simulation results are included to corroborate our findings.

Original language	English
Title of host publication	55th Asilomar Conference on Signals, Systems and Computers, ACSSC 2021
Subtitle of host publication	Proceedings
Editors	Michael B. Matthews
Publisher	IEEE
Pages	1634-1639
Number of pages	6
ISBN (Electronic)	978-1-6654-5828-3
ISBN (Print)	978-1-6654-5829-0
DOIs	https://doi.org/10.1109/IEEECONF53345.2021.9723168
Publication status	Published - 2021
Event	2021 55th Asilomar Conference on Signals, Systems, and Computers - Pacific Grove, United States Duration: 31 Oct 2021 → 3 Nov 2021 Conference number: 55th

Publication series

Name	Conference Record - Asilomar Conference on Signals, Systems and Computers
Volume	2021-October
ISSN (Print)	1058-6393

Conference

Conference	2021 55th Asilomar Conference on Signals, Systems, and Computers
Country/Territory	United States
City	Pacific Grove
Period	31/10/21 → 3/11/21

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

Wideband spectrum sensing
direction-of-arrival (DoA) estimation
sub-Nyquist sampling
sparse linear array (SLA)
joint eigenvalue decomposition (EVD)

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10.1109/IEEECONF53345.2021.9723168

A_Delayed_and_Subsampled_Wideband_Sparse_Array_for_Joint_Angle_and_Frequency_EstimationFinal published version, 1.34 MB

Cite this

Wang, F., & Leus, G. (2021). A Delayed and Subsampled Wideband Sparse Array for Joint Angle and Frequency Estimation. In M. B. Matthews (Ed.), 55th Asilomar Conference on Signals, Systems and Computers, ACSSC 2021: Proceedings (pp. 1634-1639). Article 9723168 (Conference Record - Asilomar Conference on Signals, Systems and Computers; Vol. 2021-October). IEEE. https://doi.org/10.1109/IEEECONF53345.2021.9723168

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title = "A Delayed and Subsampled Wideband Sparse Array for Joint Angle and Frequency Estimation",

abstract = "In this paper we consider the problem of joint wideband spectrum sensing and direction-of-arrival (DoA) estimation, where a number of uncorrelated narrowband sources spread over a wide frequency band impinge on a sparse linear array (SLA). To overcome the sampling rate bottleneck for wideband spectrum sensing, we rely on sub-Nyquist sampling for the receiver, and to resolve the sources both in the angle and frequency domain, an additional delayed branch is included for every antenna to gain an extra degree of freedom (DoF). Appropriately designing the delays at the different antennas allows us to use the contemporary machinery of co-array processing. We accordingly propose a joint eigenvalue decomposition (EVD) based algorithm to jointly estimate the angles and frequencies of the different sources with automatic pairing. Furthermore, as a consequence of the co-array processing, we can handle more sources than the number of physical antennas. Simulation results are included to corroborate our findings.",

keywords = "Wideband spectrum sensing, direction-of-arrival (DoA) estimation, sub-Nyquist sampling, sparse linear array (SLA), joint eigenvalue decomposition (EVD)",

author = "Feiyu Wang and Geert Leus",

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.; 2021 55th Asilomar Conference on Signals, Systems, and Computers ; Conference date: 31-10-2021 Through 03-11-2021",

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Wang, F & Leus, G 2021, A Delayed and Subsampled Wideband Sparse Array for Joint Angle and Frequency Estimation. in MB Matthews (ed.), 55th Asilomar Conference on Signals, Systems and Computers, ACSSC 2021: Proceedings., 9723168, Conference Record - Asilomar Conference on Signals, Systems and Computers, vol. 2021-October, IEEE, pp. 1634-1639, 2021 55th Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, United States, 31/10/21. https://doi.org/10.1109/IEEECONF53345.2021.9723168

A Delayed and Subsampled Wideband Sparse Array for Joint Angle and Frequency Estimation. / Wang, Feiyu; Leus, Geert.
55th Asilomar Conference on Signals, Systems and Computers, ACSSC 2021: Proceedings. ed. / Michael B. Matthews. IEEE, 2021. p. 1634-1639 9723168 (Conference Record - Asilomar Conference on Signals, Systems and Computers; Vol. 2021-October).

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

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T1 - A Delayed and Subsampled Wideband Sparse Array for Joint Angle and Frequency Estimation

AU - Wang, Feiyu

AU - Leus, Geert

N1 - Conference code: 55th

PY - 2021

Y1 - 2021

N2 - In this paper we consider the problem of joint wideband spectrum sensing and direction-of-arrival (DoA) estimation, where a number of uncorrelated narrowband sources spread over a wide frequency band impinge on a sparse linear array (SLA). To overcome the sampling rate bottleneck for wideband spectrum sensing, we rely on sub-Nyquist sampling for the receiver, and to resolve the sources both in the angle and frequency domain, an additional delayed branch is included for every antenna to gain an extra degree of freedom (DoF). Appropriately designing the delays at the different antennas allows us to use the contemporary machinery of co-array processing. We accordingly propose a joint eigenvalue decomposition (EVD) based algorithm to jointly estimate the angles and frequencies of the different sources with automatic pairing. Furthermore, as a consequence of the co-array processing, we can handle more sources than the number of physical antennas. Simulation results are included to corroborate our findings.

AB - In this paper we consider the problem of joint wideband spectrum sensing and direction-of-arrival (DoA) estimation, where a number of uncorrelated narrowband sources spread over a wide frequency band impinge on a sparse linear array (SLA). To overcome the sampling rate bottleneck for wideband spectrum sensing, we rely on sub-Nyquist sampling for the receiver, and to resolve the sources both in the angle and frequency domain, an additional delayed branch is included for every antenna to gain an extra degree of freedom (DoF). Appropriately designing the delays at the different antennas allows us to use the contemporary machinery of co-array processing. We accordingly propose a joint eigenvalue decomposition (EVD) based algorithm to jointly estimate the angles and frequencies of the different sources with automatic pairing. Furthermore, as a consequence of the co-array processing, we can handle more sources than the number of physical antennas. Simulation results are included to corroborate our findings.

KW - Wideband spectrum sensing

KW - direction-of-arrival (DoA) estimation

KW - sub-Nyquist sampling

KW - sparse linear array (SLA)

KW - joint eigenvalue decomposition (EVD)

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M3 - Conference contribution

SN - 978-1-6654-5829-0

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

SP - 1634

EP - 1639

BT - 55th Asilomar Conference on Signals, Systems and Computers, ACSSC 2021

A2 - Matthews, Michael B.

PB - IEEE

T2 - 2021 55th Asilomar Conference on Signals, Systems, and Computers

Y2 - 31 October 2021 through 3 November 2021

ER -

A Delayed and Subsampled Wideband Sparse Array for Joint Angle and Frequency Estimation

Abstract

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Bibliographical note

Keywords

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