Zhang, B., Liu, W. orcid.org/0000-0003-2968-2888 and Gou, X. (2017) Compressive sensing based sparse antenna array design for directional modulation. IET Microwaves, Antennas and Propagation, 11 (5). pp. 634-641. ISSN 1751-8725
Abstract
Directional modulation (DM) can be achieved based on uniform linear arrays where the maximum spacing between adjacent antennas is half-wavelength of the frequency of interest in order to avoid spatial aliasing. To exploit the additional degrees of freedom provided in the spatial domain, sparse antenna arrays can be employed for more effective DM. In this study, the spare array design problem in the context of DM is formulated from the viewpoint of compressive sensing (CS), so that it can be solved using standard convex optimisation toolboxes in the CS area. In detail, a common set of active antennas needs to be found for all modulation symbols generating a response close to the desired one. The key to the solution is to realise that group sparsity has to be employed, as a common antenna set cannot be guaranteed if the antenna locations are optimised for each modulation symbol individually. Moreover, two practical scenarios are considered for the proposed design: robust design with model errors and design with practical non-zero-sized antennas, and corresponding solutions are found by modifying the proposed standard solution.
Metadata
Item Type: | Article |
---|---|
Authors/Creators: |
|
Copyright, Publisher and Additional Information: | This paper is a postprint of a paper submitted to and accepted for publication in IET Microwaves, Antennas & Propagation and is subject to Institution of Engineering and Technology Copyright. The copy of record is available at the IET Digital Library. |
Keywords: | antenna locations; modulation symbols; compressive sensing based sparse antenna array design; directional modulation; uniform linear arrays; adjacent antennas; spatial aliasing; spatial domain; degrees of freedom; compressive sensing; spare array design problem; standard convex optimisation toolboxes |
Dates: |
|
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: | 07 Jun 2017 12:50 |
Last Modified: | 20 Mar 2018 23:20 |
Published Version: | https://doi.org/10.1049/iet-map.2016.0313 |
Status: | Published |
Publisher: | Institution of Engineering and Technology (IET) |
Refereed: | Yes |
Identification Number: | 10.1049/iet-map.2016.0313 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:117241 |