title: Initial Results from SQUID Sensor: Analysis and Modeling for the ELF/VLF Atmospheric Noise.
abstract: In this paper, the amplitude probability density (APD) of the wideband extremely low frequency (ELF) and very low frequency (VLF) atmospheric noise is studied. The electromagnetic signals from the atmosphere, referred to herein as atmospheric noise, was recorded by a mobile low-temperature superconducting quantum interference device (SQUID) receiver under magnetically unshielded conditions. In order to eliminate the adverse effect brought by the geomagnetic activities and powerline, the measured field data was preprocessed to suppress the baseline wandering and harmonics by symmetric wavelet transform and least square methods firstly. Then statistical analysis was performed for the atmospheric noise on different time and frequency scales. Finally, the wideband ELF/VLF atmospheric noise was analyzed and modeled separately. Experimental results show that, Gaussian model is appropriate to depict preprocessed ELF atmospheric noise by a hole puncher operator. While for VLF atmospheric noise, symmetricα-stable (SαS) distribution is more accurate to fit the heavy-tail of the envelope probability density function (pdf).
authors.affiliation: College of Communications Engineering, PLA University of Science and Technology, Nanjing 210007, China. whhaohuan@163.com.
authors.forename: Huan
authors.initials: H
authors.lastname: Hao
authors.affiliation: College of Communications Engineering, PLA University of Science and Technology, Nanjing 210007, China. wanghl09092009@163.com.
authors.forename: Huali
authors.initials: H
authors.lastname: Wang
authors.affiliation: College of Communications Engineering, PLA University of Science and Technology, Nanjing 210007, China. liang_ch@sina.com.
authors.forename: Liang
authors.initials: L
authors.lastname: Chen
authors.affiliation: Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai 200050, China. wujun@mail.sim.ac.cn.
authors.forename: Jun
authors.initials: J
authors.lastname: Wu
authors.affiliation: Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai 200050, China. lq.qiu@mail.sim.ac.cn.
authors.forename: Longqing
authors.initials: L
authors.lastname: Qiu
authors.affiliation: Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai 200050, China. rong_elec@mail.sim.ac.cn.
authors.forename: Liangliang
authors.initials: L
authors.lastname: Rong
keywords: SαS distribution; amplitude probability density; atmospheric noise; superconducting quantum interference device