Blind Symbol Rate Estimation for FSK Signals Based on Time-Frequency Enhancement and Periodic Feature Reinforcement

Chundong Qi; Mengsu Sun

doi:10.1109/EEICE65049.2025.11033913

Blind Symbol Rate Estimation for FSK Signals Based on Time-Frequency Enhancement and Periodic Feature Reinforcement

Chundong Qi^*
, Mengsu Sun

^*Corresponding author for this work

Beijing Institute of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Aiming at the problem of large errors in blind symbol rate estimation of Frequency Shift Keying (FSK) signals under low signal-to-noise ratio (SNR) and multipath fading, this paper proposes a blind estimation method based on time-frequency enhancement and periodic feature reinforcement. The method adaptively adjusts the time-frequency energy values to compensate for the energy discontinuities between consecutive identical symbols. The peak-to-average ratio (PAR) differential curve of the time-frequency diagram is further autocorrelated and analyzed in the frequency domain to reinforce the symbol period features while suppressing noise interference. Finally, the symbol rate estimation is completed through spectral peak detection. The simulation results show that the proposed algorithm achieves high estimation accuracy under low SNR conditions and remains robust in multipath fading channels.

Original language	English
Title of host publication	2025 6th International Conference on Electrical, Electronic Information and Communication Engineering, EEICE 2025
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	555-558
Number of pages	4
ISBN (Electronic)	9798331532598
DOIs	https://doi.org/10.1109/EEICE65049.2025.11033913
Publication status	Published - 2025
Externally published	Yes
Event	6th International Conference on Electrical, Electronic Information and Communication Engineering, EEICE 2025 - Shenzhen, China Duration: 18 Apr 2025 → 20 Apr 2025

Publication series

Name	2025 6th International Conference on Electrical, Electronic Information and Communication Engineering, EEICE 2025

Conference

Conference	6th International Conference on Electrical, Electronic Information and Communication Engineering, EEICE 2025
Country/Territory	China
City	Shenzhen
Period	18/04/25 → 20/04/25

Keywords

Multipath fading
Periodic feature reinforcement
Symbol rate estimation
Time-Frequency enhancement

Access to Document

10.1109/EEICE65049.2025.11033913

Cite this

Qi, C., & Sun, M. (2025). Blind Symbol Rate Estimation for FSK Signals Based on Time-Frequency Enhancement and Periodic Feature Reinforcement. In 2025 6th International Conference on Electrical, Electronic Information and Communication Engineering, EEICE 2025 (pp. 555-558). (2025 6th International Conference on Electrical, Electronic Information and Communication Engineering, EEICE 2025). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/EEICE65049.2025.11033913

Qi, Chundong ; Sun, Mengsu. / Blind Symbol Rate Estimation for FSK Signals Based on Time-Frequency Enhancement and Periodic Feature Reinforcement. 2025 6th International Conference on Electrical, Electronic Information and Communication Engineering, EEICE 2025. Institute of Electrical and Electronics Engineers Inc., 2025. pp. 555-558 (2025 6th International Conference on Electrical, Electronic Information and Communication Engineering, EEICE 2025).

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title = "Blind Symbol Rate Estimation for FSK Signals Based on Time-Frequency Enhancement and Periodic Feature Reinforcement",

abstract = "Aiming at the problem of large errors in blind symbol rate estimation of Frequency Shift Keying (FSK) signals under low signal-to-noise ratio (SNR) and multipath fading, this paper proposes a blind estimation method based on time-frequency enhancement and periodic feature reinforcement. The method adaptively adjusts the time-frequency energy values to compensate for the energy discontinuities between consecutive identical symbols. The peak-to-average ratio (PAR) differential curve of the time-frequency diagram is further autocorrelated and analyzed in the frequency domain to reinforce the symbol period features while suppressing noise interference. Finally, the symbol rate estimation is completed through spectral peak detection. The simulation results show that the proposed algorithm achieves high estimation accuracy under low SNR conditions and remains robust in multipath fading channels.",

keywords = "Multipath fading, Periodic feature reinforcement, Symbol rate estimation, Time-Frequency enhancement",

author = "Chundong Qi and Mengsu Sun",

note = "Publisher Copyright: {\textcopyright} 2025 IEEE.; 6th International Conference on Electrical, Electronic Information and Communication Engineering, EEICE 2025 ; Conference date: 18-04-2025 Through 20-04-2025",

year = "2025",

doi = "10.1109/EEICE65049.2025.11033913",

language = "English",

series = "2025 6th International Conference on Electrical, Electronic Information and Communication Engineering, EEICE 2025",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "555--558",

booktitle = "2025 6th International Conference on Electrical, Electronic Information and Communication Engineering, EEICE 2025",

address = "United States",

}

Qi, C & Sun, M 2025, Blind Symbol Rate Estimation for FSK Signals Based on Time-Frequency Enhancement and Periodic Feature Reinforcement. in 2025 6th International Conference on Electrical, Electronic Information and Communication Engineering, EEICE 2025. 2025 6th International Conference on Electrical, Electronic Information and Communication Engineering, EEICE 2025, Institute of Electrical and Electronics Engineers Inc., pp. 555-558, 6th International Conference on Electrical, Electronic Information and Communication Engineering, EEICE 2025, Shenzhen, China, 18/04/25. https://doi.org/10.1109/EEICE65049.2025.11033913

Blind Symbol Rate Estimation for FSK Signals Based on Time-Frequency Enhancement and Periodic Feature Reinforcement. / Qi, Chundong; Sun, Mengsu.
2025 6th International Conference on Electrical, Electronic Information and Communication Engineering, EEICE 2025. Institute of Electrical and Electronics Engineers Inc., 2025. p. 555-558 (2025 6th International Conference on Electrical, Electronic Information and Communication Engineering, EEICE 2025).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Blind Symbol Rate Estimation for FSK Signals Based on Time-Frequency Enhancement and Periodic Feature Reinforcement

AU - Qi, Chundong

AU - Sun, Mengsu

PY - 2025

Y1 - 2025

N2 - Aiming at the problem of large errors in blind symbol rate estimation of Frequency Shift Keying (FSK) signals under low signal-to-noise ratio (SNR) and multipath fading, this paper proposes a blind estimation method based on time-frequency enhancement and periodic feature reinforcement. The method adaptively adjusts the time-frequency energy values to compensate for the energy discontinuities between consecutive identical symbols. The peak-to-average ratio (PAR) differential curve of the time-frequency diagram is further autocorrelated and analyzed in the frequency domain to reinforce the symbol period features while suppressing noise interference. Finally, the symbol rate estimation is completed through spectral peak detection. The simulation results show that the proposed algorithm achieves high estimation accuracy under low SNR conditions and remains robust in multipath fading channels.

AB - Aiming at the problem of large errors in blind symbol rate estimation of Frequency Shift Keying (FSK) signals under low signal-to-noise ratio (SNR) and multipath fading, this paper proposes a blind estimation method based on time-frequency enhancement and periodic feature reinforcement. The method adaptively adjusts the time-frequency energy values to compensate for the energy discontinuities between consecutive identical symbols. The peak-to-average ratio (PAR) differential curve of the time-frequency diagram is further autocorrelated and analyzed in the frequency domain to reinforce the symbol period features while suppressing noise interference. Finally, the symbol rate estimation is completed through spectral peak detection. The simulation results show that the proposed algorithm achieves high estimation accuracy under low SNR conditions and remains robust in multipath fading channels.

KW - Multipath fading

KW - Periodic feature reinforcement

KW - Symbol rate estimation

KW - Time-Frequency enhancement

UR - https://www.scopus.com/pages/publications/105010831798

U2 - 10.1109/EEICE65049.2025.11033913

DO - 10.1109/EEICE65049.2025.11033913

M3 - Conference contribution

AN - SCOPUS:105010831798

T3 - 2025 6th International Conference on Electrical, Electronic Information and Communication Engineering, EEICE 2025

SP - 555

EP - 558

BT - 2025 6th International Conference on Electrical, Electronic Information and Communication Engineering, EEICE 2025

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 6th International Conference on Electrical, Electronic Information and Communication Engineering, EEICE 2025

Y2 - 18 April 2025 through 20 April 2025

ER -

Qi C, Sun M. Blind Symbol Rate Estimation for FSK Signals Based on Time-Frequency Enhancement and Periodic Feature Reinforcement. In 2025 6th International Conference on Electrical, Electronic Information and Communication Engineering, EEICE 2025. Institute of Electrical and Electronics Engineers Inc. 2025. p. 555-558. (2025 6th International Conference on Electrical, Electronic Information and Communication Engineering, EEICE 2025). doi: 10.1109/EEICE65049.2025.11033913

Blind Symbol Rate Estimation for FSK Signals Based on Time-Frequency Enhancement and Periodic Feature Reinforcement

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