摘要
基于噪声和信号在不同尺度下的特性,引入小波域中噪声置信度概念,利用删除技术CM(Censored Method)估计小波域中的噪声功率水平,采用软阈值处理,提出一种信号恒虚警检测方法。理论分析表明该方法在高斯噪声背景下具有恒虚警率特性,对不同杂波背景下的信号处理结果表明了该方法的鲁棒性。
Based on completely different properties of the signal and noise in wavelet transform, the noise confidence factor is introduced to estimate the clutter power level by means of CM（ Censored Method）. A signal CFAR detection method with soft threshold is proposed. The theoretical analysis shows the CFAR characteristic of the method under background with Gaussian distribution clutter, And the experiment results of signal processing demonstrate that this method can detect the targets in other different clutters effectively, which shows the method＇s robustness and effectiveness.
出处
《信号处理》
CSCD
北大核心
2006年第3期430-433,共4页
Journal of Signal Processing
基金
全国优秀博士学位论文作者专项基金(No.200237)
关键词
正交小波变换
恒虚警率
信号检测
鲁棒性
orthogonal wavelet transform
CFAR
signal detection
robustness
