Classification Method for Chirp Spread Spectrum Communication Formats Based on Multi-Feature Fusion

WANG Xiang; SONG Chuanjiang; YANG Zhanpeng

doi:10.11999/JEIT230783

Volume 45 Issue 11

Nov. 2023

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WANG Xiang, SONG Chuanjiang, YANG Zhanpeng. Classification Method for Chirp Spread Spectrum Communication Formats Based on Multi-Feature Fusion[J]. Journal of Electronics & Information Technology, 2023, 45(11): 4003-4015. doi: 10.11999/JEIT230783

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WANG Xiang, SONG Chuanjiang, YANG Zhanpeng. Classification Method for Chirp Spread Spectrum Communication Formats Based on Multi-Feature Fusion[J]. Journal of Electronics & Information Technology, 2023, 45(11): 4003-4015. doi: 10.11999/JEIT230783

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Classification Method for Chirp Spread Spectrum Communication Formats Based on Multi-Feature Fusion

doi: 10.11999/JEIT230783

1.
State Key Laboratory of Complex Electromagnetic Environment Effects on Electronics and Information System, College of Electronic Science, Natioanal University of Denfense Technology, Changsha 410073, China
2.
Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100190, China

Funds: The National Natural Science Foundation of China (62271494)

Received Date: 2023-07-28
Rev Recd Date: 2023-09-25

Available Online: 2023-10-08

Publish Date: 2023-11-28

Abstract

Abstract

Automatic Modulation Classification (AMC) is essential for spectrum monitoring and cognitive radio. The Chirp Spread Spectrum (CSS) communication scheme could be developed remarkably due to its good anti-interference ability and robustness. However, research on the AMC of the CSS communication scheme is limited.Therefore, this paper proposes a CSS signal modulation classification method based on Multi-Feature Fusion (MFF) to enhance its recognition accuracy. This method which leverages spectrum and time-frequency map feature fusion learning and incorporates an attention module. The results of 11 types of CSS formats demonstrate that the proposed scheme exhibits superior recognition performance.
- Chirp signal,
- Chirp Spread Spectrum (CSS),
- Automatic Modulation Classification (AMC),
- Multi-Feature Fusion (MFF)

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References(30)

References

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