指挥控制与仿真2026，Vol.48Issue(1)：55-59,5.DOI:10.3969/j.issn.1673-3819.2026.01.007
基于特征保持与噪声更新的水声信号增强算法
Underwater acoustic target signal enhancement algorithm optimized by feature preservation and noise update
摘要
Abstract
The enhancement effect of the classic Nonnegative Matrix Factorization(NMF)applied to underwater acoustic target signal is unsatisfactory for the feature overlap of underwater acoustic target signal and the variability of ocean underwa-ter acoustic field.And so,an improved NMF underwater acoustic signal enhancement algorithm based on feature preservation is proposed by adaptively improving the classic NMF algorithm using the characteristics of underwater acoustic target signals.The β-divergence constraints and similarity detection is first applied to the NMF feature basis matrix to eliminate redundan-cy,optimized NMF features with size invariant characteristics,while avoiding the loss of basis vectors due to coefficient dis-persion caused by similar basis vectors.And then,the real-time environmental noise received by the sonar is used to improve the adaptability of the NMF noise basis vector,achieving noise reduction and enhancement of the underwater acoustic target signal.The experimental results show that,compared to the classical NMF,the manifold constrained NMF that is used to the underwater acoustic signal enhancement,the proposed method achieved the better signal enhancement effect.关键词
NMF水声信号增强/β-散度约束/余弦相似性去冗余/噪声匹配优化Key words
NMF underwater acoustic signal enhancement/β-divergence constraint/cosine similarity de-redundancy/opti-mization of noise matching分类
信息技术与安全科学引用本文复制引用
肖海霞,崔双月,李大卫,孙明明,刘贤忠,杨真鑫..基于特征保持与噪声更新的水声信号增强算法[J].指挥控制与仿真,2026,48(1):55-59,5.基金项目
海军航空大学托举基金(H2202402002) （H2202402002）
