Based on Mallat algorithm, a de-noising algorithm of adaptive wavelet threshold is applied for weak magnetic signal
detection of far moving target in complex magnetic environment. The choice of threshold is the key problem. With the
spectrum analysis of the magnetic field target, a threshold algorithm on the basis of adaptive ARMA model filter is
brought forward to improve the wavelet filtering performance. The simulation of this algorithm on measured data is
carried out. Compared to Donoho threshold algorithm, it shows that adaptive ARMA model threshold algorithm
significantly improved the capability of weak magnetic signal detection in complex magnetic environment.
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