舰船离岸通信网络在复杂海洋环境中面临频带混叠挑战，导致接收信号具有非平稳性强且含高噪声占比的特征。故提出一种基于双树复小波包变换（Dual-Tree Complex Wavelet Packet Transform，DT-CWPT）的弱信号增强方法。利用DT-CWPT对含噪的离岸通信信号实施多尺度分解，并设计低通与高通滤波器组划分信号的频带。针对分解得到的低频和高频系数，分别采用自适应增强因子和阈值处理策略抑制噪声，保留信号中的细节成分，最终通过逆变换的方式重构增强信号。实验表明，该方法在提升信噪比与控制信号失真度方面的表现均优于现有方法，具备良好的鲁棒性与实用性，适用于舰船离岸通信网络的弱信号增强场景。
Shipboard offshore communication networks face the challenge of frequency band aliasing in complex marine environments, resulting in received signals characterized by non-stationarity, high intensity, and a significant proportion of noise. Therefore, a weak signal enhancement method based on the Dual-Tree Complex Wavelet Packet Transform (DT-CWPT) was proposed in this study. DT-CWPT was employed to perform multi-scale decomposition of noisy offshore communication signals, and low-pass and high-pass filter banks were designed to divide the signal frequency bands. For the decomposed low-frequency and high-frequency coefficients, adaptive enhancement factors and threshold processing strategies were respectively adopted to suppress noise while preserving the detailed components of the signal. Finally, the enhanced signal was reconstructed through inverse transformation. Experiments demonstrate that this method outperforms existing approaches in terms of improving the signal-to-noise ratio and controlling signal distortion, exhibiting excellent robustness and practicality, and is suitable for weak signal enhancement scenarios in ship offshore communication networks.
2026,48(7): 90-94 收稿日期：2025-10-22
DOI：10.3404/j.issn.1672-7649.2026.07.015
分类号：U66；TN911.7
作者简介：腾立国(1979-),男,硕士,讲师,研究方向为自动化与智能控制
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