Abstract
It is a technical challenge to effectively remove the influence of magnetic noise from the vicinity of the receiving sensors on low-frequency magnetic communication. The traditional denoising methods are difficult to extract high-quality original signals under the condition of low SNR (the signal-to-noise ratio). In this paper, we analyze the numerical characteristics of the low-frequency magnetic field and propose the algorithms of the fast optimization of blind source separation (FOBSS) and the frequency-domain correlation extraction (FDCE). FOBSS is based on blind source separation (BSS). Signal extraction of low SNR can be implemented through FOBSS and FDCE. This signal extraction method is verified in multiple field experiments which can remove the magnetic noise by about 25 dB or more.
Highlights
Because the electromagnetic wave of RF attenuates in the water or on land, the application of lowfrequency (LF, 30 Hz∼300 kHz), ultralow-frequency (ULF, 300∼3000 Hz), and extremely low-frequency (ELF, 3∼30 Hz) electromagnetic spectrum receives widespread attention [1, 2]
The electromagnetic wave of low frequency is mainly used in submarine communication [2] and resource exploration [3]
The signal extraction can be implemented in the frequency domain based on the correlation function
Summary
Because the electromagnetic wave of RF (radio frequency) attenuates in the water or on land, the application of lowfrequency (LF, 30 Hz∼300 kHz), ultralow-frequency (ULF, 300∼3000 Hz), and extremely low-frequency (ELF, 3∼30 Hz) electromagnetic spectrum receives widespread attention [1, 2]. In the application of low-frequency magnetic field, the signal waveform should be obtained, and the original signal should be acquired for locating magnetic source [11]. The correlation of low-frequency magnetic field is analyzed, and the algorithms of the fast optimization of blind source separation and the frequencydomain correlation extraction are proposed. High coherence denotes that the waveform similarity of the separated result and the original signal is high
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