摘要
研究了舰船辐射噪声的 Lipschitz奇异性指数的分类性能及其提取方法。提出对舰船噪声进行自适应 Gauss平滑滤波是一种可取的前置处理方法 ,它可以提高特征参数的识别与分类能力。对实测的舰船信号的仿真实验证实 ,在分类和识别舰船被动目标前 ,进行适当的滤波 。
It is proved that the energy Lipschit singularity is quite useful for recognition of underwater target. But the stochastic noise interferes the effective recognition. An adaptive Gaussian smoothing filtering method was proposed to reduce the effect of stochastic noise and enhance the singularity feature. The 560 samples, the measured radiation signal of underwater ships, were preprocessed by the adaptive Gaussian smoothing filter. It is shown that the recognition rates are improved considerably and the preprocessing method is quite effective.
出处
《西北工业大学学报》
EI
CAS
CSCD
北大核心
2001年第2期262-265,共4页
Journal of Northwestern Polytechnical University
基金
国防科技重点实验室基金资助! (99JSR2 .6 .1)
