基于小波变换的海杂波分布特性分析

Analysis of sea clutter distribution based on wavelet transform

摘要:

提出了用小波变换对海杂波分布进行统计分析,利用小波多分辨分析估计海杂波的概率密度函数,通过拟合识别分布并求取参数,改变以往先假定海杂波分布识别的方法,克服了因为噪声的存在直接由海杂波数据估计分布参数不准确的缺点。通过适当地调整小波多分辨分析的阈值,可以获得更逼真的海杂波概率密度函数,适应各种海况下的海杂波分析。

Abstract:

In this paper, the wavelet transform is proposed to statistically analysis sea clutter distribution characteristic. The wavelet multi-resolution analysis (MRA) is used to estimate the sea clutter’s probability density function (PDF) in this method, then the distribution and its parameters are acquired by fitting the estimated PDF curve. The method changes the formerly identification method which assumes the sea clutter distribution type beforehand, and overcomes the inaccurate shortcoming that estimating distribution parameters directly using the sea clutter data because of the noise. Especially more real PDF can be achieved by properly adjusting the MRA thresholds, our method can be used to analysis sea clutter in all kinds of sea conditions.