舰船通信信号易受复杂多变海洋环境多源噪声干扰，导致信号失真。为提高通信可靠性，提出基于线性变换的信号降噪与解调优化方法。构建窗函数优化的低通线性变换矩阵，结合低维随机投影与DCT稀疏重构，在频域抑制噪声并保留信号线性特征。提出包含相位校正矩阵的相干解调线性变换框架，将多径相位畸变补偿与基带提取融合于统一矩阵运算，增强解调在多变海况下适应性，消除相位畸变并提取高质量基带信号。实验表明，在模拟舰船协同作战受扰场景下，该方法在0～350 Hz全频段内噪声抑制效果显著，基带信号的MFC波动范围稳定在–0.3～0.55，展现出优越的鲁棒性与可靠性。
Ship communication signals are susceptible to multi-source noise interference in complex and changing marine environments, leading to signal distortion. To improve communication reliability, a signal denoising and demodulation optimization method based on linear transformation is proposed. Construct a low-pass linear transformation matrix optimized by window function, combined with low dimensional random projection and DCT-based sparse reconstruction, to suppress noise in the frequency domain and preserve the linear features of the signal. Propose a coherent demodulation linear transformation framework that includes a phase correction matrix, which integrates multipath phase distortion compensation and baseband extraction into a unified matrix operation to enhance the adaptability of demodulation in variable sea conditions, eliminate phase distortion, and extract high-quality baseband signals. The experiment shows that in the simulated scenario of ship cooperative combat being disturbed, this method has significant noise suppression effect in the full frequency range of 0–350 Hz, and the MFC fluctuation range of the baseband signal is stable at –0.3–0.55, demonstrating superior robustness and reliability.
2026,48(3): 201-205 收稿日期：2025-8-8
DOI：10.3404/j.issn.1672-7649.2026.03.032
分类号：U664.21
作者简介：荆一昕(1981-),女,硕士,讲师,研究方向为高等数学及线性代数
参考文献：
[1] 王华华, 张睿哲, 黄永洪. 基于生成式对抗网络和多模态注意力机制的扩频与常规调制信号识别方法[J]. 电子与信息学报, 2024, 46(4): 1212-1221
WANG H H, ZHANG R Z, HUANG Y H. Spread spectrum and conventional modulation signal recognition methods based on generative adversarial networks and multimodal attention mechanisms[J]. Journal of Electronics and Information Technology, 2024, 46(4): 1212-1221
[2] 连家威, 张晓林, 颜品, 等. 基于小波能量比和改进阈值函数的通信信号降噪算法[J]. 系统工程与电子技术, 2025, 47(7): 2098-2109
LIAN J W, ZHANG X L, YAN P, et al. Communication signal denoising algorithm based on wavelet energy ratio and improved threshold function[J]. Systems Engineering and Electronic Technology, 2025, 47(7): 2098-2109
[3] 高明慧, 唐晓刚, 张斌权, 等. 基于复数神经网络的通信调制信号降噪方法[J]. 海军工程大学学报, 2025, 37(1): 43-50
GAO M H, TANG X G, ZHANG B Q, et al. A communication modulation signal denoising method based on complex neural networks[J]. Journal of Naval Engineering University, 2025, 37(1): 43-50
[4] 郭家兴, 钱君霞, 闫安心, 等. 基于VMD和排列熵的海缆振动信号降噪方法[J]. 光通信技术, 2024, 48(2): 84-89
GUO J X, QIAN J X, YAN A X, et al. A denoising method for submarine cable vibration signals based on VMD and permutation entropy[J]. Optical Communication Technology, 2024, 48(2): 84-89
[5] 付重阳, 江鹏, 张宇, 等. 基于改进型CGAN的水声信号降噪模型[J]. 计算机工程与设计, 2023, 44(5): 1352-1358
FU C Y, JIANG P, ZHANG Y, et al. Acoustic signal denoising model based on improved CGAN[J]. Computer Engineering and Design, 2023, 44(5): 1352-1358
[6] 赵云龙, 孙骞, 简鑫, 等. 基于改进EMD-CIIT降噪算法的INS/5G组合导航方法[J]. 系统工程与电子技术, 2024, 46(12): 4203-4212
ZHAO Y L, SUN Q, JIAN X, et al. INS/5G integrated navigation method based on improved EMD-CIIT denoising algorithm[J]. Systems Engineering and Electronic Technology, 2024, 46(12): 4203-4212
