CORRELATION TECHNOLOGY

Detection of Magnetic Anomaly Signal Based on OBFDecomposition in Wavelet Domain

  • ZHANG Jian ,
  • LIN Chunsheng ,
  • DENG Peng ,
  • YANG Zhenyu
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  • 1 Naval Radar and Sanar Mending Factory in Qingdao, Shandong Qingdao 266100, China
    2 Naval University of Engineering, Wuhan 430033, China
    3 Navy Submarine Academy, Shandong Qingdao 266000, China

Received date: 2010-11-15

  Online published: 2025-05-30

Abstract

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.

Cite this article

ZHANG Jian , LIN Chunsheng , DENG Peng , YANG Zhenyu . Detection of Magnetic Anomaly Signal Based on OBFDecomposition in Wavelet Domain[J]. Journal of Projectiles, Rockets, Missiles and Guidance, 2011 , 31(6) : 187 -189,196 . DOI: 10.15892/j.cnki.djzdxb.2011.06.015

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