Patent · US Active

Intelligent data and knowledge-driven method for modulation recognition

US11700156B1 · kind B1 · utility

0Cited by

3References

3Claims

0Family size

Assignee

Nanjing University of Aeronautics and Astronautics · CN

Inventors

Fuhui Zhou · Nanjing, CN
Rui Ding · Beijing, CN
Ming Xu · Nanjing, CN
Hao Zhang · Shanghai, CN
Lu Yuan · Carlsbad, US
Qihui Wu · 安丰镇, CN
Chao Dong · Beijing, CN

Key dates

Filing date	Sep 2, 2022
Grant date	Jul 11, 2023
Priority date	—
Expiry date	Sep 2, 2042

Classification

Technology area (CPC G)Physics
CPC primaryG06N5/02
WIPO fieldComputer technology
WIPO sectorElectrical engineering

Abstract

An intelligent data and knowledge-driven method for modulation recognition includes the following steps: collecting spectrum data; constructing corresponding attribute vector labels for different modulation schemes; constructing and pre-training an attribute learning model based on the attribute vector labels for different modulation schemes; constructing and pre-training a visual model for modulation recognition; constructing a feature space transformation model, and constructing an intelligent data and knowledge-driven model for modulation recognition based on the attribute learning model and the visual model; transferring parameters of the pre-trained visual model and the pre-trained attribute learning model and retraining the transformation model; and determining whether training on a network is completed and outputting a classification result. The intelligent data and knowledge-driven method for modulation recognition significantly improves the recognition accuracy at low SNRs and reduces the confusion between higher-order modulation schemes.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.