Teng, L., Wang, Q., Chen, H. et al. (3 more authors) (2020) DOA estimation for coexistence of circular and non-circular signals based on atomic norm minimization. In: 2020 IEEE 11th Sensor Array and Multichannel Signal Processing Workshop (SAM). 2020 IEEE 11th Sensor Array and Multichannel Signal Processing Workshop (SAM), 08-11 Jun 2020, Hangzhou, China. IEEE ISBN 9781728119472
Abstract
In this paper, a gridless DOA estimation method with coexistence of non-circular and circular signals is proposed by employing an enhanced sparse nested array, whose virtual array has no holes. The virtual signals derived from both sum and difference co-arrays are constructed based on atomic norm minimization. Simulation results are provided to demonstrate the performance of the proposed method.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works. Reproduced in accordance with the publisher's self-archiving policy. |
Keywords: | DOA estimation; Enhanced nested sparse array; Virtual array; Atomic norm; Circular and non-circular signals |
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: | 10 Nov 2020 11:51 |
Last Modified: | 10 Jun 2021 00:39 |
Status: | Published |
Publisher: | IEEE |
Refereed: | Yes |
Identification Number: | 10.1109/sam48682.2020.9104368 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:167837 |