Research on Satellite Single-mixed Signal Modulation Recognition  Based on Joint Feature Parameters

YANG Hongjuan; SHI Tongzhi; LI Bo; ZHAO Nan; WANG Gang

doi:10.11999/JEIT210768

Volume 44 Issue 10

Oct. 2022

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Article Navigation > Journal of Electronics & Information Technology > 2022 > 44(10): 3499-3506

YANG Hongjuan, SHI Tongzhi, LI Bo, ZHAO Nan, WANG Gang. Research on Satellite Single-mixed Signal Modulation Recognition Based on Joint Feature Parameters[J]. Journal of Electronics & Information Technology, 2022, 44(10): 3499-3506. doi: 10.11999/JEIT210768

Citation:

YANG Hongjuan, SHI Tongzhi, LI Bo, ZHAO Nan, WANG Gang. Research on Satellite Single-mixed Signal Modulation Recognition Based on Joint Feature Parameters[J]. Journal of Electronics & Information Technology, 2022, 44(10): 3499-3506. doi: 10.11999/JEIT210768

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Research on Satellite Single-mixed Signal Modulation Recognition Based on Joint Feature Parameters

doi: 10.11999/JEIT210768

1.
School of Information Science and Engineering, Harbin Institute of Technology at Weihai, Weihai 264209, China
2.
Department of Electronic Information and Electrical Engineering, Dalian University of Technology, Dalian 116024, China
3.
School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin 150001, China

Funds: The National Natural Science Foundation of China (62171154, 61901137), The Natural Science Foundation of Shandong Province (ZR2020MF007), The Research Fund Program of Guangdong Key Laboratory of Aerospace Communication and Networking Technology (2018B030322004)

Received Date: 2021-08-02
Rev Recd Date: 2021-09-06

Available Online: 2021-09-17

Publish Date: 2022-10-19

Abstract

Abstract

In order to tackle the problem of single-mixed signal modulation type recognition with low efficiency and poor accuracy in satellite communication, based on clustering characteristics of constellation and high order cumulants, a joint algorithm is proposed. Firstly, three characteristic parameters is constructed with the utilization of the 4th and 6th order cumulants to identify Multiple Phase Shift Keying (MPSK) and partial Multiple Quadrature Amplitude Modulation (MQAM) modulation types, then the improved constellation subtraction clustering algorithm is combined to separate the remaining modulation patterns, At last, the parameters are integrated to establish a decision tree classifier for unified scheduling. By adopting the method of this article, many signals without prior knowledge are unnecessarily required, and meanwhile the proposed approach maintains the characteristics of simple feature extraction parameters and multiple recognition types. The simulation experiments demonstrate that the associated algorithm is still able to achieve the validity of more than 90%, in the circumstance of the satellite single-mixed signals possessing a Signal-to-Noise Ratio (SNR) of 10 dB.
- Satellite single-mixed signal,
- Modulation recognition,
- High-order cumulants,
- Constellation clustering characteristics

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References(15)

References

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