Wan, Z. and Liu, W. orcid.org/0000-0003-2968-2888 (Accepted: 2019) Non-coherent DOA estimation based on a dual-array structure without reference signals. In: Proceedings of the IEEE Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP). 2019 IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), 15-18 Dec 2019, Guadeloupe, French West Indies. IEEE
Abstract
The problem of direction of arrival (DOA) estimation with magnitude only measurements, i.e. non-coherent DOA estimation, is considered in this paper. Although it can be solved by sparse phase retrieval algorithms, known reference signals are needed to deal with the inherent ambiguity issue of this approach. In this work, to avoid the use of reference signals, which is not convenient in practice, an effective array structure based on two uniform linear arrays is proposed for non-coherent DOA estimation. A new ambiguity called spatial order ambiguity is also discussed for the first time. Simulation results are provided to show its effectiveness.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2019 IEEE. |
Keywords: | DOA estimation; non-coherent; magnitude measurements; phase retrieval; dual arrays |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Electronic and Electrical Engineering (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 03 Feb 2020 15:28 |
Last Modified: | 03 Feb 2020 15:28 |
Status: | Published |
Publisher: | IEEE |
Refereed: | Yes |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:155904 |
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Filename: CAMSAP2019_paper.pdf
