An Adaptive Filter Method Based on Multi-Input Cascaded Correlation for Low-Frequency Weak Magnetic Signal Extraction

An adaptive filter method based on multi-input cascaded correlation for low-frequency weak magnetic signal extraction is proposed, which is used to suppress broadband background electromagnetic noise and enhance the signal-to-noise ratio (SNR) of low-frequency narrowband target signals. The algorithm principle and implementation of the method are analyzed. The results show that the signal extraction effect of the method is verified. Compared with the adaptive filter method based on dual-input correlation, the multi-input cascaded correlation method can improve enhancement of the SNR for weak magnetic signals.