摘要
舰船辐射噪声的线谱成分包含许多舰船的特征信息,在低信噪比的情况下,实现线谱的有效检测对舰船的分类与识别有着重大意义。以绝热近似小参数理论为依据,提出一种基于自相关和随机共振理论相结合的舰船辐射噪声线谱检测方法。该方法通过对微弱信号自相关处理完成初步消噪,并将处理后数据输入到随机共振系统中进行线谱检测。仿真实验中,将本方法通过尺度变换运用于舰船辐射噪声线谱检测中,仿真结果验证该方法的有效性。
The line-spectrum of ship-radiated noise contains a lot of ship＇s feature information. In the case of the low signal-to-noise ratio, the effective detection of line-spectrum is meaningful for the classification and identification of ships. On the basis of the adiabatic elimination theory in small parameters, a new method based on auto-correlation with stochastic resonance theory was proposed. This method can preliminarily delete the noise by applying auto-correlation process, and then import the processed data into stochastic resonance system for weak line spectrum detection. In the simulation experiment, the way of scale transformation was applied to detect the characteristic line-spectrum from the ship-radiated noise, and the result of simulation proves the effectiveness of this designed method.
出处
《舰船科学技术》
北大核心
2013年第12期37-41,共5页
Ship Science and Technology
关键词
自相关
随机共振
尺度变换
线谱检测
auto-correlation
stochastic resonance
scale transformation
line-spectrum detection
