数字海洋与水下攻防2024，Vol.7Issue(3)：301-309,9.DOI:10.19838/j.issn.2096-5753.2024.03.008
基于小波包变换特征向量提取的隐蔽水声通信性能评价方法研究
Research on Performance Evaluation Method of Covert Underwater Acoustic Communication Based on Feature Vector Extraction with Wavelet Packet Transform
摘要
Abstract
To address the lack of objective and effective evaluation methods for the covert performance of underwater acoustic communication systems,an approach that relies on wavelet packet transform is proposed in this paper.The proposed method extracts signal feature vectors and utilizes a similarity algorithm to assess the covert capability of signals.The proposed method capitalizes on the superior time-frequency resolution and adaptive-frequency-band selection of the wavelet packet transform to differentiate intercepted signals from environmental noise.It extracts feature parameters of intercepted signals,specifically the wavelet packet energy percentage,wavelet packet energy entropy,and wavelet packet scale entropy.These parameters are used to construct the feature vectors,and the cosine similarity algorithm is applied to determine the covert performance of signals.Simulation experiments and sea trials demonstrate that the concealment performance yielded by the proposed method aligns closely with the actual changes in covert performance concerning signal-to-noise ratio.As a result,this method offers an effective reference for evaluating and designing covert underwater acoustic communication systems and grading the acoustic countermeasure performance.关键词
隐蔽性能评估/隐蔽水声通信/小波包变换/特征提取/余弦相似度比较Key words
covert performance evaluation/convert underwater acoustic communication/wavelet transform/feature extraction/cosine similarity algorithm分类
信息技术与安全科学引用本文复制引用
武正义,周跃海,童峰,陈东升..基于小波包变换特征向量提取的隐蔽水声通信性能评价方法研究[J].数字海洋与水下攻防,2024,7(3):301-309,9.基金项目
中央高校基本科研业务费专项资金资助"水下隐蔽通信评价研究"(20720210078). （20720210078）
