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

Rajamäki, Robin; Koivunen, Visa

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

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Title:	Sparse Low-redundancy Linear Array with Uniform Sum Co-array
Author(s):	Rajamäki, Robin ; Koivunen, Visa
Date:	2020-05
Language:	en
Pages:	5 4592-4596
Department:	Visa Koivunen Group Dept Signal Process and Acoust
ISBN:	9781509066315
Series:	2020 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2020 - Proceedings, Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing
ISSN:	1520-6149 2379-190X
DOI-number:	10.1109/ICASSP40776.2020.9054431
Keywords:	active sensing, coherent imaging, mutual coupling, Sparse arrays, sum co-array
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Citation: 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
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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