摘要
为了获取复杂环境中瞬态或非平稳水声信号的特征和高检测概率,提出了一种基于时频分析和统计模型的水声目标被动检测方法,建立了基于短时傅里叶变换、Wigner-Ville分布和小波变换这3种时频分析方法的被动检测模型。结合实测的舰船辐射噪声数据进行目标检测与分析,结果表明,尽管这3种时频分析方法都能有效地将目标检测出来,但是基于小波变换的被动检测模型的检测性能最好。
To extract the non-stationary or transient features of targets in complicated underwater environment and achieve high detection probability, a novel passive detection method of underwater acoustic target based on time-fre- quency analysis and statistical model is proposed, and three passive detection models are established based on short time Fourier transform（STFT）, Wigner-Ville distribution, and wavelet transform, respectively. Target detection is conducted with these three models on the basis of the measured data of ship-radiated noise, and the results show that all three models achieve satisfactory target detection, of which the model based on wavelet transform behaves best.
出处
《鱼雷技术》
2015年第1期26-29,共4页
Torpedo Technology
关键词
时频分析
水声信号
目标检测
time-frequency analysis
acoustic signal
target detection
