Adaptive damping magnetic field sensor

    公开(公告)号:US12181548B2

    公开(公告)日:2024-12-31

    申请号:US17461943

    申请日:2021-08-30

    Applicant: Guoqiang Xue

    Abstract: This application provides an adaptive damping magnetic field sensor, including: a receiving coil, an adaptive damping matching resistance circuit, and an amplifying circuit; where the receiving coil is used for receiving an earth response signal generated by the earth under excitation of an emission source, and generating an induced voltage; the adaptive damping matching resistance circuit is used for receiving the induced voltage generated by the receiving coil and automatically matching a damping resistance value to obtain a near-source broadband observation signal; and the amplifying circuit is used for amplifying the observation signal with a constant gain and outputting a sensor output signal. This application carries out automatic matching control on the damping resistance value through the adaptive damping matching resistance circuit, thereby ensuring that the sensor can stably and reliably implement fine observation of an earth response under near-source, broadband and complex scene conditions.

    Method for Suppressing Airborne Transient Electromagnetic In-Band Vibration Noise

    公开(公告)号:US20200348438A1

    公开(公告)日:2020-11-05

    申请号:US16402261

    申请日:2019-05-03

    Abstract: Disclosed in the present invention is a method for suppressing airborne transient electromagnetic in-band vibration noise, comprising: dividing the data after current turn-off into two segments according to whether the useful signal is attenuated to the system noise level: the segment A is the useful signal segment, and the segment B is the pure noise segment; limiting the bandwidth of the data of the segment B according to the frequency range of the in-band noise, and labeling the result as BL; training a neural network using the BL, utilizing the well trained neural network to predict the in-band vibration noise contained in the data of the segment A, and labeling the prediction result as PNA; and subtracting the PNA from the data of the segment A to suppress the in-band vibration noise contained in the data of the segment A.

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