太赫兹科学与电子信息学报2024，Vol.22Issue(7)：710-715,6.DOI:10.11805/TKYDA2022137
基于模糊熵的连续相位调制识别算法
Continuous phase modulation recognition algorithm based on fuzzy entropy
阮光鑫 1柳征1
作者信息
- 1. 国防科技大学 电子科学学院,湖南 长沙 410073
- 折叠
摘要
Abstract
To address the recognition challenge of Multi-h Continuous Phase Modulation(Multi-h CPM)signals with varying modulation parameters,this paper proposes a modulation recognition algorithm grounded in fuzzy entropy theory.This theory transcends the binary approach of distance and count-based similarity in approximate entropy,opting for a membership function to assess similarity and more accurately reflect the complexity of time series.The algorithm separates and calculates the fuzzy entropy of the in-phase and quadrature components of the received signal,utilizing these values as classification features for a Support Vector Machine(SVM).Experiments demonstrate that the algorithm achieves 100%recognition accuracy for full-response rectangular shaped Multi-h CPM signals across various modulation index sets at signal-to-noise ratios above 6 dB,and enables modulation recognition with a minimal number of symbols.关键词
模糊熵/多指数连续相位调制/调制识别/支持向量机Key words
fuzzy entropy/Multi-h Continuous Phase Modulation(Multi-h CPM)/modulation recognition/Support Vector Machine分类
信息技术与安全科学引用本文复制引用
阮光鑫,柳征..基于模糊熵的连续相位调制识别算法[J].太赫兹科学与电子信息学报,2024,22(7):710-715,6.
