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High-Performance Computational Recognition of Communication Signals Based on Bispectral Quadratic Feature Model
Yarong Chen1, Rui Zhu1, Jianxin Guo1
1School of Information Engineering, Xijing University, Xi'an, Shaanxi 710123, China.
Computational Intelligence and Neuroscience
|May 6, 2022
Summary
This study introduces a novel bispectral quadratic feature model for identifying radiation source communication signals. The advanced algorithm enhances signal identification rates and noise resistance in diverse environments.
Area of Science:
- Electrical Engineering
- Signal Processing
- Communications Engineering
Background:
- Traditional communication signal identification methods face challenges with radiation source signals.
- Accurate identification of communication signals is crucial for reliable communication systems.
Purpose of the Study:
- To develop and validate a robust algorithm for identifying communication signals from radiation sources.
- To enhance the accuracy and anti-interference capabilities of signal identification.
Main Methods:
- Application of the bispectral quadratic feature model to communication signal identification.
- Extension of bispectrum diagonal slice eigenvalues to the complex plane via chirp-z transform.
- Establishment of a sparse observation model and transformation into a signal motion parameter estimation problem.
- Utilizing variational inference for communication signal estimation and high-resolution distance testing.
Main Results:
- The proposed algorithm effectively identifies various communication signals using simulated and measured data.
- Demonstrated anti-interference capabilities against noise in diverse environmental conditions.
- Significant improvement in the communication signal identification rate was observed.
Conclusions:
- The bispectral quadratic feature model offers an effective and practical solution for communication signal identification.
- The algorithm's performance is validated across different environments and data types.
- The method shows promise for enhancing the reliability of communication systems.
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