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

No Thumbnail Available
Journal Title
Journal ISSN
Volume Title
Conference article in proceedings
Date
2020-05
Major/Subject
Mcode
Degree programme
Language
en
Pages
5
4592-4596
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
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
Description
Keywords
active sensing, coherent imaging, mutual coupling, Sparse arrays, sum co-array
Other note
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