Sparse Low-redundancy Linear Array with Uniform Sum Co-array

Robin Rajamäki; Visa Koivunen

doi:10.1109/ICASSP40776.2020.9054431

Sparse Low-redundancy Linear Array with Uniform Sum Co-array

Robin Rajamäki, Visa Koivunen

Visa Koivunen Group

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

2 Citations (Scopus)

81 Downloads (Pure)

Abstract

Sparse arrays can resolve vastly more scatterers than the number of sensors in tasks such as coherent source localization. This entails significant cost reductions compared to conventional arrays with uniformly spaced elements. In this paper, we introduce a parametric sparse linear array configuration called the Klove array (KA). The KA has a contiguous sum and difference co-array, making it suitable for both active and passive sensing. We show that KAs of any size can have both low redundancy, and few closely spaced elements. This may improve robustness in the face of mutual coupling.¹

Original language	English
Title of host publication	2020 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2020 - Proceedings
Publisher	IEEE
Pages	4592-4596
Number of pages	5
ISBN (Electronic)	9781509066315
DOIs	https://doi.org/10.1109/ICASSP40776.2020.9054431
Publication status	Published - May 2020
MoE publication type	A4 Article in a conference publication
Event	IEEE International Conference on Acoustics, Speech, and Signal Processing - Virtual conference, Barcelona, Spain Duration: 4 May 2020 → 8 May 2020 Conference number: 45

Publication series

Name	Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing
ISSN (Print)	1520-6149
ISSN (Electronic)	2379-190X

Conference

Conference	IEEE International Conference on Acoustics, Speech, and Signal Processing
Abbreviated title	ICASSP
Country/Territory	Spain
City	Barcelona
Period	04/05/2020 → 08/05/2020
Other	Virtual conference

Keywords

active sensing
coherent imaging
mutual coupling
Sparse arrays
sum co-array

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10.1109/ICASSP40776.2020.9054431

Rajamaki_et_al_Sparse_low-redundancy_linear_array_ICASSPAccepted author manuscript, 277 KB

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Rajamäki, R., & Koivunen, V. (2020). Sparse Low-redundancy Linear Array with Uniform Sum Co-array. In 2020 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2020 - Proceedings (pp. 4592-4596). [9054431] (Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing). IEEE. https://doi.org/10.1109/ICASSP40776.2020.9054431

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abstract = "Sparse arrays can resolve vastly more scatterers than the number of sensors in tasks such as coherent source localization. This entails significant cost reductions compared to conventional arrays with uniformly spaced elements. In this paper, we introduce a parametric sparse linear array configuration called the Klove array (KA). The KA has a contiguous sum and difference co-array, making it suitable for both active and passive sensing. We show that KAs of any size can have both low redundancy, and few closely spaced elements. This may improve robustness in the face of mutual coupling.1",

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series = "Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing",

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Rajamäki, R & Koivunen, V 2020, Sparse Low-redundancy Linear Array with Uniform Sum Co-array. in 2020 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2020 - Proceedings., 9054431, Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, IEEE, pp. 4592-4596, IEEE International Conference on Acoustics, Speech, and Signal Processing, Barcelona, Spain, 04/05/2020. https://doi.org/10.1109/ICASSP40776.2020.9054431

Sparse Low-redundancy Linear Array with Uniform Sum Co-array. / Rajamäki, Robin ; Koivunen, Visa.

2020 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2020 - Proceedings. IEEE, 2020. p. 4592-4596 9054431 (Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing).

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

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N2 - Sparse arrays can resolve vastly more scatterers than the number of sensors in tasks such as coherent source localization. This entails significant cost reductions compared to conventional arrays with uniformly spaced elements. In this paper, we introduce a parametric sparse linear array configuration called the Klove array (KA). The KA has a contiguous sum and difference co-array, making it suitable for both active and passive sensing. We show that KAs of any size can have both low redundancy, and few closely spaced elements. This may improve robustness in the face of mutual coupling.1

AB - Sparse arrays can resolve vastly more scatterers than the number of sensors in tasks such as coherent source localization. This entails significant cost reductions compared to conventional arrays with uniformly spaced elements. In this paper, we introduce a parametric sparse linear array configuration called the Klove array (KA). The KA has a contiguous sum and difference co-array, making it suitable for both active and passive sensing. We show that KAs of any size can have both low redundancy, and few closely spaced elements. This may improve robustness in the face of mutual coupling.1

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Sparse Low-redundancy Linear Array with Uniform Sum Co-array

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MASSIVE AND SPARSE ANTENNA ARRAY PROCESSING FOR MILLIMETERWAVE COMMUNICATIONS

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Sparse Low-redundancy Linear Array with Uniform Sum Co-array

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Keywords

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MASSIVE AND SPARSE ANTENNA ARRAY PROCESSING FOR MILLIMETERWAVE COMMUNICATIONS

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