Journal of Terahertz Science and Electronic Information Technology , Volume. 22, Issue 11, 1283(2024)

A symbol rate estimation algorithm under low signal-to-noise ratio

WANG Qinmin1, ZHAO Jinjin2, DONG Liyuan1, and LI Mingmei1
Author Affiliations
  • 1School of Information and Intelligence Engineering, Tianjin Ren'ai College, Tianjin 301636, China
  • 2Power Engineering Department, Zhengzhou Electric Power College, Zhengzhou Henan 450001, China
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    For the problem of symbol rate estimation in non-cooperative communication, an algorithm based on empirical mode decomposition for symbol rate estimation is proposed. The algorithm performs a low-order Empirical Mode Decomposition (EMD) on the instantaneous amplitude of the signal to find the intrinsic mode components that contain information about the symbol rate; then, it estimates the symbol rate through spectral line detection. This algorithm can effectively reduce the impact of interference on estimation performance by separating frequencies, thereby improving estimation accuracy. Simulation results show that the algorithm can obtain an estimate of the symbol rate directly from the frequency band signal under low signal-to-noise ratio conditions.

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    WANG Qinmin, ZHAO Jinjin, DONG Liyuan, LI Mingmei. A symbol rate estimation algorithm under low signal-to-noise ratio[J]. Journal of Terahertz Science and Electronic Information Technology , 2024, 22(11): 1283

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    Paper Information

    Category:

    Received: Mar. 23, 2023

    Accepted: Jan. 3, 2025

    Published Online: Jan. 3, 2025

    The Author Email:

    DOI:10.11805/tkyda2023073

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