Zhang, B. and Liu, W. orcid.org/0000-0003-2968-2888 (2018) Antenna array based positional modulation with a two-ray multi-path model. In: 2018 IEEE 10th Sensor Array and Multichannel Signal Processing Workshop (SAM). 2018 IEEE 10th Sensor Array and Multichannel Signal Processing Workshop (SAM), 08-11 Jul 2018, Sheffield, UK. IEEE ISBN 978-1-5386-4752-3
Abstract
Traditional directional modulation (DM) designs are based on the assumption that there is no multi-path effect between transmitters and receivers. One problem with these designs is that the resultant systems will be vulnerable to eavesdroppers which are aligned with or very close to the desired directions, as the received modulation pattern at these positions is similar to the given one. To solve the problem, a two-ray multi-path model is studied for positional modulation and the coefficients design problem for a given array geometry and a location-optimised antenna array is solved, where the multipath effect is exploited to generate a given modulation pattern at desired positions, with scrambled values at positions around them.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2018 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: | Modulation; Array signal processing; Receivers; Phased arrays; Sensor 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: | 05 Sep 2018 08:20 |
Last Modified: | 05 Sep 2018 08:25 |
Published Version: | https://doi.org/10.1109/SAM.2018.8448867 |
Status: | Published |
Publisher: | IEEE |
Refereed: | Yes |
Identification Number: | 10.1109/SAM.2018.8448867 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:135231 |