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基于多维时间频率叠加频谱的多载体复合模拟信号的盲目识别算法
Shoubin Wang1, Huan Li2, Xiaolong Zhang3
1The 36th Research Institute of China Electronics Technology Corporation, Jiaxing 314033, China.
Sensors (Basel, Switzerland)
|July 12, 2025
概括
本研究引入了一种新的算法,通过整合内部和外部调制特征来识别多载波复合模拟信号. 该方法显著提高了识别精度,特别是在低信号噪声比 (SNR) 条件下.
科学领域:
- 数字通信数字通信
- 信号处理 信号处理
- 机器学习 机器学习
背景情况:
- 现有的多载波复合材料调制识别方法难以整合内部和外部调制特征.
- 这种限制阻碍了性能改进,特别是在信号噪声比 (SNR) 低的环境中.
研究的目的:
- 为多载波复合信号调制识别提出一种新的算法.
- 通过有效地整合内部和外部调制特征来提高识别性能,特别是在低SNR条件下.
主要方法:
- 开发了一种多维时频叠加频谱 (MD-TFSS),以整合内部和外部信号特征.
- 一个带有注意力机制的双通道输入ECA-ResNet18 (DECA-ResNet18) 网络被用于盲目识别.
- MD-TFSS将复杂的信号特征转换为可视化解释的图像特征,以实现直观的表示.
主要成果:
- 拟议的MD-TFSS有效地整合了内部和外部调制特征,避免了特征隔离.
- DECA-ResNet18网络可自适应地分配权重,增强对互补特征的捕获.
- 与现有方法相比,该算法表现出优越的识别性能,特别是在低SNR条件下.
结论:
- 拟议的MD-TFSS和DECA-ResNet18算法在多载波复合模拟识别方面取得了重大进展.
- 该方法实现了高精度和概括能力,特别是在具有挑战性的低SNR环境中.
- 这种方法为识别复杂的复合模拟信号提供了有效的解决方案.
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