摘要
对海杂波的非平稳分形随机建模以及分形信号的小波域分析处理是当前研究的热门课题 .由于分维表征的非普适性和海杂波的多重分形特性 ,使得依据单个分维值、忽略近似项和小波系数相关性的滤波估计效果不佳 .本文提出了基于小波的分段线性拟合分维估计方法 ,设计了考虑小波系数相关性以及近似项的小波域Wiener滤波器组 .提出了海杂波背景下雷达引信回波信号小波域滤波估计———相关检测方法 ,理论分析和实验表明该方法能获得较大信噪比增益 。
Non-stationary stochastic fractal modeling of sea clutter and analysis and process based on WT are prevalently studied.The methods based on single fractal dimension and regardless of approximation coefficient (AC) and the correlation of wavelet coefficient (WC) behave badly because of the non-general fit and multi-fractal of sea clutter.This paper presents the fractal dimension estimation based on subsection linear interpolation and designs the Wiener Filter considering the AC and the correlation of WC.The method of wavelet-filter and correlation detection of radar-fuze signal is proposed,Theoretical analysis and experimental results proved the method is effective on gaining better SNR and improving the probability of the CFRP of radar fuze in the non-stationary stochastic noise.
出处
《电子学报》
EI
CAS
CSCD
北大核心
2004年第12期1937-1940,共4页
Acta Electronica Sinica
基金
国防"十五"重点预研项目 (No .41 30 50 30 5)
关键词
海杂波
分形随机噪声
相关检测
雷达引信
sea clutter
fractal stochastic noise
correlation detection
radar fuze