在多传感器非对称噪声系统中对隐蔽通信的优化
Sen Qiao1, Ruizhi Zhu1, Xiaopeng Ji1
1School of Electronics and Information Engineering, Nanjing University of Information Science and Technology, Nanjing 210044, China.
Sensors (Basel, Switzerland)
|February 10, 2024
概括
这项研究通过分析Kullback-Leibler分歧和相互信息来优化非对称噪声中的无线隐蔽通信. 在这些复杂的系统中,相角选择对于提高隐蔽性和传输速率至关重要.
科学领域:
- 无线通信是一种无线通信.
- 信息理论是信息理论.
- 信号处理 信号处理
背景情况:
- 秘密通信系统在杂的环境中面临着挑战.
- 不对称的噪声条件使安全性和数据速率之间的平衡变得复杂.
- 现有的方法可能无法充分解决多传感器隐蔽传输的细微差别.
研究的目的:
- 在多传感器不对称噪音下调查无线隐蔽通信.
- 开发一个对振幅增益和相角的优化方法.
- 为了提高隐蔽性和传输速率.
主要方法:
- 使用Kullback-Leibler (KL) 分歧作为隐蔽度指标.
- 使用相互信息来量化传输速率.
- 应用泰勒数列扩展来准确近似KL分歧和相互信息.
- 导出用于优化的分析表达式.
主要成果:
- 为KL分歧和相互信息的分析表达式得到了推导.
- 基于衍生式的振幅增益和相角的优化.
- 证明了相角选择在不对称噪声场景中的关键作用.
- 提出了传输参数的有效优化方法.
结论:
- 拟议的方法有效地优化了在不对称噪声中进行隐蔽通信的振幅增益和相角.
- 数字结果验证了开发方法的优越性.
- 阶段角度优化是安全和高效的无线通信的关键因素.
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