Characterization and detection of oscillating magnetic dipole signals
Characterization and detection of oscillating magnetic dipole signals
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DOI：
10.1088/1361-6501/aa59c0
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发表时间：
2017-02
影响因子：
2.4
通讯作者：
Tsuriel Ram-Cohen;R. Alimi;E. Weiss;Z. Zalevsky
中科院分区：
文献类型：
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作者：
Tsuriel Ram-Cohen;R. Alimi;E. Weiss;Z. Zalevsky
本文讨论了振荡磁偶极子（OMD）信号的表征问题以及为其开发合适的磁异常检测（MAD）算法。研究上述问题的结果是：（1）基于非线性重力摆模型开发了完整的噪声和信号模型。该模型与现实世界的磁信号以及模拟信号进行了比较和验证。 (2) 一种检测算法，通过白化噪声并寻找信号中的周期性特征来利用该模型。所开发的算法具有高抗噪性和高检测概率，即使在信噪比低至-10 dB 的情况下也是如此。与基准检测器相比，我们的检测方案的性能提高了 5-10 dB。此外，当针对现实世界信号测试探测器时，SNR 与模拟预测性能的差异小于 2.5 dB。
The present paper deals with the problem of characterization of oscillating magnetic dipole (OMD) signals and the development of a suitable magnetic anomaly detection (MAD) algorithm for it. The resulting outcomes of investigating the above mentioned problem are: (1) a development of a complete model of the noise and the signal based on a non-linear gravity pendulum model. This model was compared and verified against real world magnetic signals, as well as simulated ones. (2) A detection algorithm that utilizes this model by whitening the noise and seeking for periodical features in the signal. The developed algorithm has high noise immunity with high detection probabilities even at as low SNR as −10 dB. Compared to benchmark detectors, our detection scheme offers performance improved by 5–10 dB. Moreover, when testing the detector against real world signals, the SNR difference in respect to the performance predicted by the simulations was less than 2.5 dB.