人工噪声辅助的物理层安全信号峰均功率比减低算法

洪涛; 张更新

doi:10.11999/JEIT170739

人工噪声辅助的物理层安全信号峰均功率比减低算法

doi: 10.11999/JEIT170739

洪涛¹,
张更新¹

基金项目:

国家自然科学基金(91738201, 61302102)，江苏省属高校自然科学研究面上项目(13KJB510023)

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- 被引次数: 0
出版历程
- 收稿日期: 2017-07-20
- 修回日期: 2018-03-19
- 刊出日期: 2018-06-19

Peak-to-average Power Ratio Reduction Algorithm of Artificial-noise-aided Secure Signal

HONG Tao¹,
ZHANG Gengxin¹

Funds:

The National Natural Science Foundation of China (91738201, 61302102), The Natural Science Foundation of the university of Jiangsu Province (13KJB510023)

摘要

摘要: 人工噪声辅助的物理层安全通信系统采用人工噪声破坏窃听信道的方式提升系统安全信道容量是近年来物理层安全通信领域研究的经典系统模型之一。该文针对这一模型中发射信号存在高峰均功率比问题，利用噪声子空间提供的冗余度提出一种基于噪声子空间功率分配的峰均功率比降低算法。该算法通过分式规划、DC规划以及二次非凸等式约束松弛将非凸的峰均功率比优化问题转化为一系列的凸问题迭代求解。仿真结果表明在系统放大器存在一定线性范围的约束下，该文提出的算法能够有效降低人工噪声辅助的物理层安全通信系统发射信号的峰均功率比问题，达到提高系统中合法用户的通信性能的目的。
- 无线通信 /
- 物理层安全 /
- 人工噪声辅助 /
- 功率分配 /
- 凸优化
Abstract: The research of improving the Secrecy Capacity (SC) of wireless communication system using Artificial Noise (AN) is one of the classics models in the field of physical layer security communication. Considering the Peak-to-Average Power Ratio (PAPR) problem of transmit signal, a power allocation of AN subspaces algorithm is proposed to reduce the PAPR of transmit signal based on convex optimization. This algorithm utilizes a series of convex optimization problems to approach the nonconvex PAPR optimization problem based on fractional programming, Difference of Convex (DC) functions programming and nonconvex quadratic equality constraint transformation. Simulation results show that the proposed algorithm reduce the PAPR value of transmit signal to improve the communication performance of legitimate user compared with benchmark problems.
- Wireless communication /
- Physical layer security /
- Artificial Noise (AN) aided /
- Power allocation /
- Convex optimization

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参考文献(19)

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