基于图形卷积网络的特征融合用于水下通信中的调制分类
Xiaohui Yao1, Honghui Yang1, Meiping Sheng1
1School of Marine Science and Technology, Northwestern Polytechnical University, Xi'an 710072, China.
Entropy (Basel, Switzerland)
|July 29, 2023
概括
本研究介绍了一种强大的方法,用于使用图形卷积网络 (GCN) 在水下声信号中进行自动调制分类 (AMC). 该方法在具有挑战性的海洋环境中增强了信号分析,改善了通信系统的理解.
科学领域:
- 信号处理 信号处理
- 机器学习 机器学习
- 水下声学 水下声学
背景情况:
- 自动调制分类 (AMC) 对于分析水下声通信信号至关重要,特别是用于国防和海洋应用.
- 现有的特征提取和深度学习方法与水下声道的复杂性作斗争,限制了分类准确性.
- 对于在具有挑战性的海洋环境中准确识别敌方通信系统而言,需要强大的AMC方法至关重要.
研究的目的:
- 为了提高自动调制分类 (AMC) 在复杂的水下声道中的稳定性和稳定性.
- 开发一种新的方法,将多域特征和深度特征融合在一起,以改进调制分类.
- 利用图形卷积网络 (GCN) 在声信号数据中处理结构化信息.
主要方法:
- 基于特征属性构建了一个特征图.
- 从使用深度神经网络接收的水下声信号中提取了多域和深度特征.
- 图形卷积网络 (GCN) 用于融合这些多域和深度特征,然后使用软max层进行分类.
主要成果:
- 拟议的基于 GCN 的 AMC 方法在最先进的技术上显示出显著的性能改进.
- 在模拟和现实数据集上的实验验证实了该方法的有效性.
- 这种方法被证明是强大而稳定的,即使在具有挑战性的水下声道条件下.
结论:
- 使用GCN的多域和深度特征的融合为水下声学通信中的强大的AMC提供了强大的解决方案.
- 这种方法有效地解决了复杂海洋环境中的传统方法的局限性.
- 开发的技术为准确掌握水下军事应用中的通信系统参数提供了显著的进步.
相关概念视频
01:30Classification of Signals
532
In signal processing, signals are classified based on various characteristics: continuous-time versus discrete-time, periodic versus aperiodic, analog versus digital, and causal versus noncausal. Each category highlights distinct properties crucial for understanding and manipulating signals.
A continuous-time signal holds a value at every instant in time, representing information seamlessly. In contrast, a discrete-time signal holds values only at specific moments, often denoted as x(n), where...
A continuous-time signal holds a value at every instant in time, representing information seamlessly. In contrast, a discrete-time signal holds values only at specific moments, often denoted as x(n), where...
532
01:22Force Classification
1.3K
Forces play a crucial role in the study of physics and engineering. They are essential in describing the motion, behavior, and equilibrium of objects in the physical world. Forces can be classified based on their origin, type, and direction of action.
Contact and non-contact forces are two of the most widely used categories of forces. As the name suggests, contact forces require physical contact between two objects to act upon each other. Examples of contact forces include frictional,...
Contact and non-contact forces are two of the most widely used categories of forces. As the name suggests, contact forces require physical contact between two objects to act upon each other. Examples of contact forces include frictional,...
1.3K
01:25Network Function of a Circuit
324
Frequency response analysis in electrical circuits provides vital insights into a circuit's behavior as the frequency of the input signal changes. The transfer function, a mathematical tool, is instrumental in understanding this behavior. It defines the relationship between phasor output and input and comes in four types: voltage gain, current gain, transfer impedance, and transfer admittance. The critical components of the transfer function are the poles and zeros.
324
01:21State Space to Transfer Function
236
The conversion of state-space representation to a transfer function is a fundamental process in system analysis. It provides a method for transitioning from a time-domain description to a frequency-domain representation, which is crucial for simplifying the analysis and design of control systems.
The transformation process begins with the state-space representation, characterized by the state equation and the output equation. These equations are typically represented as:
The transformation process begins with the state-space representation, characterized by the state equation and the output equation. These equations are typically represented as:
236
01:27Uniform Depth Channel Flow
97
Uniform depth channel flow keeps fluid depth consistent along channels such as irrigation canals. In natural channels, such as rivers, approximate uniform flow is often assumed. This condition occurs when the channel’s bottom slope matches the energy slope, balancing potential energy lost from gravity with head loss due to shear stress. This balance prevents depth changes along the channel length, resulting in a steady, uniform flow.Uniform flow in open channels with a constant cross-section...
97
01:18Signal Flow Graphs
255
Signal-flow graphs offer a streamlined and intuitive approach to representing control systems, providing an alternative to traditional block diagrams. These graphs use branches to symbolize systems and nodes to represent signals, effectively illustrating the relationships and interactions within the system.
In a signal-flow graph, branches denote the system's transfer functions, while nodes represent the signals. The direction of signal flow is indicated by arrows, with the corresponding...
In a signal-flow graph, branches denote the system's transfer functions, while nodes represent the signals. The direction of signal flow is indicated by arrows, with the corresponding...
255