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[an error occurred while processing this directive]收稿日期: 2010-11-15
网络出版日期: 2025-05-30
基金资助
国防装备预研基金
Detection of Magnetic Anomaly Signal Based on OBFDecomposition in Wavelet Domain
Received date: 2010-11-15
Online published: 2025-05-30
张坚 , 林春生 , 邓鹏 , 杨振宇 . 基于小波域 OBF 分解的磁异常信号检测算法[J]. 弹箭与制导学报, 2011 , 31(6) : 187 -189,196 . DOI: 10.15892/j.cnki.djzdxb.2011.06.015
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.
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