PN Sequence Period Estimation Method for Underwater Direct-Sequence Spread Spectrum Signals Under Low SNR

In non-cooperative DSSS signal reception, the accurate estimation of the pseudo-noise (PN) sequence period is essential for successful despreading and information recovery. In this paper, we propose an average second-order-moment autocorrelation method based on the accumulated code difference function to enhance the estimation accuracy under low-signal-to-noise-ratio (SNR) conditions. The proposed approach involves three key aspects: First, a quadrature receiver is employed to mitigate the impact of the random initial phase on demodulation, enabling the full utilization of the signal energy. Second, a code difference function is constructed using transition information between adjacent spreading codes, and by leveraging the strong correlation between these functions, accumulated processing effectively suppresses the noise influence. Third, the autocorrelation result of the accumulated code difference function displays periodic peaks separated by intervals equal to the PN sequence period, allowing for period estimation through peak interval extraction. In addition, the introduced average-second-order-moment technique addresses the peak loss caused by information code randomness while further smoothing noise. Simulation and experimental results verify the effectiveness and practicality of the proposed method, which outperformed the average-second-order-moment method by about 1.5 dB and the accumulated-power-spectrum-reprocessing method by about 2 dB.

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Publication Details

Journal
Journal of Marine Science and Engineering
Published
2025-12-06
DOI
https://doi.org/10.3390/jmse13122318
Primary Topic
Underwater Vehicles and Communication Systems
Type
article
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article

PN Sequence Period Estimation Method for Underwater Direct-Sequence Spread Spectrum Signals Under Low SNR

Guolong Liang, Yilin Wang, Jinjin Wang, Yu Hao et al.
Journal of Marine Science and Engineering
Underwater Vehicles and Communication Systems
article

PN Sequence Period Estimation Method for Underwater Direct-Sequence Spread Spectrum Signals Under Low SNR

Guolong Liang, Yilin Wang, Jinjin Wang, Yu Hao, Xiang Yu, Fu Jin, Yuanxin Teng
article en

Abstract

In non-cooperative DSSS signal reception, the accurate estimation of the pseudo-noise (PN) sequence period is essential for successful despreading and information recovery. In this paper, we propose an average second-order-moment autocorrelation method based on the accumulated code difference function to enhance the estimation accuracy under low-signal-to-noise-ratio (SNR) conditions. The proposed approach involves three key aspects: First, a quadrature receiver is employed to mitigate the impact of the random initial phase on demodulation, enabling the full utilization of the signal energy. Second, a code difference function is constructed using transition information between adjacent spreading codes, and by leveraging the strong correlation between these functions, accumulated processing effectively suppresses the noise influence. Third, the autocorrelation result of the accumulated code difference function displays periodic peaks separated by intervals equal to the PN sequence period, allowing for period estimation through peak interval extraction. In addition, the introduced average-second-order-moment technique addresses the peak loss caused by information code randomness while further smoothing noise. Simulation and experimental results verify the effectiveness and practicality of the proposed method, which outperformed the average-second-order-moment method by about 1.5 dB and the accumulated-power-spectrum-reprocessing method by about 2 dB.

Journal of Marine Science and EngineeringVol. 13(12)
Harbin Engineering University (CN), Wuhan Ship Development & Design Institute (CN), Beihang University (CN), Ministry of Industry and Information Technology (CN)
Openalex Percentile: Top 52%
Underwater Vehicles and Communication Systems
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