利用子波变换提取目标回波波形特征  

Feature Extraction of Target Echo Based on Wavelet Transform

作　　者：吴艳[1] 梁继民[1] 杨万海[1] 

机构地区：[1]西安电子科技大学电子工程学院,710071

出　　处：《系统工程与电子技术》2001年第2期11-13,共3页Systems Engineering and Electronics

摘　　要：对Donoho阈值决策子波域去噪方法进行了研究 ,该方法采用软限幅函数对噪声信号的子波变换系数做阈值处理以达到去噪的目的。具体讨论了在Sym8子波基底下 ,用此方法对非平稳雷达回波进行五尺度的Mallat算法仿真 ,结果表明该方法除对噪声具有很好的拟制效果外 ,还有效地保留了目标回波波形特征 。In this paper a method with wavelet transform based on threshold filter is described in detail. A soft threshold function is used to remove noise components from the wavelet coefficients of noisy signal. Then the simulation of non-stationary echo with five scales by Mallat algorithm under Sym8 wavelet base is discussed. Computer simulations show that the method not only suppresses noise effectively but also preserves as many characteristics of target echo as possible. It follows that the feature extraction by wavelet transform is regarded as a very attractive alternative in radar signal processing.

关 键 词：信号处理 目标回波 子波变换 雷达 波形特征 

分 类 号：TN957.51[电子电信—信号与信息处理]