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Compressed sensing based single snapshot DoA estimation for sparse MIMO radar arrays

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peer-reviewed

Erstveröffentlichung
2019-04-25
Authors
Roos, Fabian
Hügler, Philipp
Tovar Torres, Lizette Lorraine
Knill, Christina
Schlichenmaier, Johannes
et al.
Beitrag zu einer Konferenz


Published in
2019 12th German Microwave Conference (GeMiC) ; 2019 (2019). - S. 75-78. - ISBN 978-3-9812668-9-4, ISBN 978-1-7281-0242-9. - ISSN 2167-8022
Link to original publication
https://dx.doi.org/10.23919/GEMIC.2019.8698136
Faculties
Fakultät für Ingenieurwissenschaften, Informatik und Psychologie
Institutions
Institut für Mikrowellentechnik
External cooperations
Daimler AG
Document version
accepted version
Conference
German Microwave Conference (GeMiC), 2019-03-25 - 2019-03-27, Stuttgart
Abstract
The angular resolution of a radar system can be enhanced with an increasing antenna aperture. Instead of using more antenna elements, the distances in the aperture can be increased with a sparse array. To mitigate the high side lobes originating from the sparse array, the missing antenna elements can be reconstructed by means of compressed sensing. In this paper a sparse antenna array with a low side lobe level is determined with a genetic algorithm and a cost function. An investigation is performed what difference in the radar cross section of two targets in the same range-Doppler cell can be achieved. Additionally, instead of considering point targets only, a target vehicle is measured with a 77 GHz MIMO radar.
Subject headings
[GND]: MIMO | Komprimierte Abtastung | Bordradar
[LCSH]: MIMO systems | Compressed sensing (Telecommunication) | Radar | Snapshots
[Free subject headings]: MIMO radar | Direction-of-arrival estimation | Sparse arrays | Single snapshot | Extended targets | Automotive radar
[DDC subject group]: DDC 620 / Engineering & allied operations
License
Standard (ohne Print-on-Demand)
https://oparu.uni-ulm.de/xmlui/license_opod_v1

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DOI & citation

Please use this identifier to cite or link to this item: http://dx.doi.org/10.18725/OPARU-14063

Roos, Fabian et al. (2019): Compressed sensing based single snapshot DoA estimation for sparse MIMO radar arrays. Open Access Repositorium der Universität Ulm und Technischen Hochschule Ulm. http://dx.doi.org/10.18725/OPARU-14063
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