摘要
针对传统的OBF分解算法在非高斯噪声下检测性能较差的问题,提出了基于小波域OBF分解的磁异常信号检测算法。首先对含噪信号进行小波分解,提取最后一层的低频分量;再对低频分量作OBF分解,提取能量特征信号进行门限检测。试验结果表明,该算法显著增强了非高斯噪声下微弱磁异常信号的检测效果。
Considering the bad effect of OBF decomposition algorithm in non-Gaussian noise,a detection algorithm for magnetic anomaly signal based on OBF decomposition in wavelet domain was proposed.First,the raw signal was decomposed by wavelet transform,and the low frequency components in last level were taken out.Then,the low frequency components were decomposed by OBF and the energy signal was taken out for threshold detection.The results of experiment show that the algorithm improves the effect for detecting weak magnetic anomaly signal in non-Gaussian noise environment.
出处
《弹箭与制导学报》
CSCD
北大核心
2011年第6期187-189,196,共4页
Journal of Projectiles,Rockets,Missiles and Guidance
基金
国防装备预研基金资助
关键词
磁异常探测
非高斯噪声
小波变换
OBF分解
magnetic anomaly detection
non-Gaussian noise
wavelet transform
OBF decomposition
