Zhang, B. and Liu, W. orcid.org/0000-0003-2968-2888 (2018) Multi-carrier based phased antenna array design for directional modulation. IET Microwaves, Antennas and Propagation, 12 (5). pp. 765-772. ISSN 1751-8725
Abstract
Directional modulation (DM) has been developed based on narrowband antenna arrays, which can form the desired constellation values in the directions of interest while scrambling the values and simultaneously maintaining a magnitude response as low as possible in other directions. In this study, for the first time, the authors develop a multi-carrier based DM framework using antenna arrays, where simultaneous data transmission over multiple frequencies can be achieved, so that a much higher data rate can be obtained. In addition, such a framework allows possible frequency division based multi-user access to the system and also provides the flexibility of using different modulation schemes at different frequencies. Then, they study the antenna location optimisation problem for multi-carrier based DM using a compressive sensing based approach by employing the group sparsity concept. Examples are provided for both the design of weight coefficients and the optimisation of antenna locations.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | This paper is a postprint of a paper submitted to and accepted for publication in IET Microwaves, Antennas and Propagation and is subject to Institution of Engineering and Technology Copyright. The copy of record is available at the IET Digital Library. |
Keywords: | antenna phased arrays; modulation; frequency division multiple access; optimisation; compressed sensing; multicarrier based phased antenna array design; directional modulation scheme; narrowband antenna array; multicarrier based DM framework; data transmission; frequency division based multiuser access; antenna location optimisation problem; compressive sensing based approach; group sparsity concept; optimisation |
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: | 19 Jun 2018 12:03 |
Last Modified: | 21 Jun 2018 00:48 |
Published Version: | https://doi.org/10.1049/iet-map.2017.0505 |
Status: | Published |
Publisher: | Institution of Engineering and Technology |
Refereed: | Yes |
Identification Number: | 10.1049/iet-map.2017.0505 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:132098 |