调制方式识别方法、装置以及存储介质
CN115409060BActive Publication Date: 2026-07-17CHINA COAL RES INST
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- CHINA COAL RES INST
- Filing Date
- 2022-08-19
- Publication Date
- 2026-07-17
AI Technical Summary
Technical Problem
Existing modulation scheme identification algorithms cannot cope with changes in channel state, resulting in poor identification performance.
Method used
A pre-trained neural network model is used to perform calculations by combining the observed signal and the signal-to-noise ratio signal. The modulation mode is identified by using deep learning technology and signal-to-noise ratio information, and classification is performed using a feature fusion layer and an output layer.
Benefits of technology
It improves the accuracy of modulation scheme identification, reduces computational complexity, and enables timely response to changes in channel state.
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Figure CN115409060B_ABST
Abstract
本公开提出一种调制方式识别方法、装置以及存储介质，方法包括：获取待识别的观测信号和信噪比信号，并利用预先训练的神经网络模型对观测信号和信噪比信号进行计算，得到调制方式分类结果，以及根据调制方式分类结果，确定目标调制方式，能够利用深度学习技术并综合信噪比信息进行识别，因此可以及时应对信道状态的变化，并且还可以降低计算复杂度，从而提高调制方式识别的准确率。并且，本公开设计两步训练法可以很好的解决模型训练中不收敛的问题。
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