Robust Synthesis Algorithm for Directional Modulation Signal with Array Manifold Vectors Uncertainty
Directional modulation (DM) has become a new research hotspot of physical layer security (PLS) communication at the transmitter side. In this paper, we propose a robust synthesis algorithm for DM signal under the condition of the array manifold vectors perturbation. This algorithm optimizes the cons...
Main Author: | |
---|---|
Format: | Article |
Language: | English |
Published: |
Hindawi Limited
2020-01-01
|
Series: | International Journal of Antennas and Propagation |
Online Access: | http://dx.doi.org/10.1155/2020/9060732 |
id |
doaj-8201fefe1c8243cbbd7e4c5365db2065 |
---|---|
record_format |
Article |
spelling |
doaj-8201fefe1c8243cbbd7e4c5365db20652020-11-25T02:47:37ZengHindawi LimitedInternational Journal of Antennas and Propagation1687-58691687-58772020-01-01202010.1155/2020/90607329060732Robust Synthesis Algorithm for Directional Modulation Signal with Array Manifold Vectors UncertaintyTao Hong0College of Telecommunications and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing 210003, ChinaDirectional modulation (DM) has become a new research hotspot of physical layer security (PLS) communication at the transmitter side. In this paper, we propose a robust synthesis algorithm for DM signal under the condition of the array manifold vectors perturbation. This algorithm optimizes the constraints of sidelobe level and Euclidean distance of constellation points by considering the worst case performance of array manifold vectors. Furthermore, we also design an active constellation extension (ACE) method to relax the equality constraint of desired modulation symbols into a robust inequality constraint at the desired direction. These constraints can be reformulated in a convex form with l2 and l∞ regularization, which are computationally tractable. Simulation results show better performance of the proposed robust algorithm compared with the benchmark synthesis algorithms in the presence of array manifold vectors uncertainty.http://dx.doi.org/10.1155/2020/9060732 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Tao Hong |
spellingShingle |
Tao Hong Robust Synthesis Algorithm for Directional Modulation Signal with Array Manifold Vectors Uncertainty International Journal of Antennas and Propagation |
author_facet |
Tao Hong |
author_sort |
Tao Hong |
title |
Robust Synthesis Algorithm for Directional Modulation Signal with Array Manifold Vectors Uncertainty |
title_short |
Robust Synthesis Algorithm for Directional Modulation Signal with Array Manifold Vectors Uncertainty |
title_full |
Robust Synthesis Algorithm for Directional Modulation Signal with Array Manifold Vectors Uncertainty |
title_fullStr |
Robust Synthesis Algorithm for Directional Modulation Signal with Array Manifold Vectors Uncertainty |
title_full_unstemmed |
Robust Synthesis Algorithm for Directional Modulation Signal with Array Manifold Vectors Uncertainty |
title_sort |
robust synthesis algorithm for directional modulation signal with array manifold vectors uncertainty |
publisher |
Hindawi Limited |
series |
International Journal of Antennas and Propagation |
issn |
1687-5869 1687-5877 |
publishDate |
2020-01-01 |
description |
Directional modulation (DM) has become a new research hotspot of physical layer security (PLS) communication at the transmitter side. In this paper, we propose a robust synthesis algorithm for DM signal under the condition of the array manifold vectors perturbation. This algorithm optimizes the constraints of sidelobe level and Euclidean distance of constellation points by considering the worst case performance of array manifold vectors. Furthermore, we also design an active constellation extension (ACE) method to relax the equality constraint of desired modulation symbols into a robust inequality constraint at the desired direction. These constraints can be reformulated in a convex form with l2 and l∞ regularization, which are computationally tractable. Simulation results show better performance of the proposed robust algorithm compared with the benchmark synthesis algorithms in the presence of array manifold vectors uncertainty. |
url |
http://dx.doi.org/10.1155/2020/9060732 |
work_keys_str_mv |
AT taohong robustsynthesisalgorithmfordirectionalmodulationsignalwitharraymanifoldvectorsuncertainty |
_version_ |
1715387636378501120 |