远场弱磁信号的小波域自适应检测研究  

Adaptive Wavelet Detection of Weak Far-magnetic Signal

作　　者：张宁[1] 庞学亮[1] 林春生[1] 于李洋 

机构地区：[1]海军工程大学兵器工程系,武汉430033 [2]海军驻大连426厂军事代表室,大连116005

出　　处：《武汉理工大学学报（交通科学与工程版）》2011年第2期406-408,412,共4页Journal of Wuhan University of Technology（Transportation Science & Engineering）

摘　　要：探讨了基于Mallat算法的自适应小波阈值消噪在复杂磁环境下运动目标磁场弱信号检测方面的应用.阈值的选取是算法的关键,基于对目标磁场频谱分析,采用与尺度相关的自适应ARMA模型的阈值算法,改进在不同的小波分解层阈值滤波的性能.对实测数据进行算法仿真,并与Do-noho阈值算法检测效果对比表明,自适应ARMA模型阈值滤波算法显著提高对目标磁场弱信号的检测和提取能力.An adaptive wavelet threshold de-noising based on Mallat algorithm is applicated to moving target weak magnetic field signal detection in complex magnetic environment.The choice of threshold is the key problem.Based on the spectrum analysis of the magnetic field goal,an adaptive ARMA model threshold algorithm is adopted to improve the wavelet filtering performance.The simulation of this algorithm on measured data is carried out,and compared to Donoho threshold algorithm,which shows that adaptive ARMA model threshold algorithm significantly improved the capability of weak signal detection and extraction in complex magnetic environment.

关 键 词：弱信号检测 小波消噪 自适应阈值 

分 类 号：TN911.23[电子电信—通信与信息系统]