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非高斯背景噪声下的微弱磁异常信号检测算法
引用本文:张坚,林春生,邓鹏,龚沈光.非高斯背景噪声下的微弱磁异常信号检测算法[J].海军工程大学学报,2011(4):22-26.
作者姓名:张坚  林春生  邓鹏  龚沈光
作者单位:海军工程大学兵器工程系;海军潜艇学院导弹兵器系;
基金项目:国家部委基金资助项目(9140A01010109)
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,提出了一种带通滤波结合OBF分解的磁异常信号检测算法.首先,根据磁异常信号的频域特征,设计了Parks-McClellan最优FIR滤波器.通过对舍噪信号的带通滤波,实现对非高斯噪声的近似高斯化,同时最大程度地保留磁异常信号的信息.然后,对滤波后的信号进行OBF...

关 键 词:信号检测  磁异常探测  OBF分解  非高斯噪声  带通滤波

Detection of weak magnetic anomaly signal in non-Gaussian noise background
ZHANG Jian,LIN Chun-sheng,DENG Peng,GONG Shen-guang.Detection of weak magnetic anomaly signal in non-Gaussian noise background[J].Journal of Naval University of Engineering,2011(4):22-26.
Authors:ZHANG Jian  LIN Chun-sheng  DENG Peng  GONG Shen-guang
Institution:ZHANG Jian1,LIN Chun-sheng1,DENG Peng2,GONG Shen-guang1(1.Dept.of Weaponry Engineering,Naval Univ.of Engineering,Wuhan 430033,China,2.Dept.of Missile and Weaponry Engineering,Naval Submarine Academy,Qingdao 266000,China)
Abstract:As for the poorer effect of traditional OBF decomposition algorithm in non-Gaussian noise,a new detection algorithm was proposed using a band-pass filter combined with OBF decomposition.Firstly the Parks-McClellan optimal FIR filter was designed based on the frequency characteristic of magnetic anomaly signal.The raw signal was filtered by the band-pass filter so that non-Gaussian noise could fall into Gaussian distribution approximately and the information of magnetic anomaly signal was retained to the lar...
Keywords:detection of signal  magnetic anomaly detection  OBF decomposition  non-Gaussian noise  band-pass filter  
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