| Citation: | Luzhao CHEN, Wanhua ZHU, Peilin WU, Chunjiao FEI, Guangyou FANG. Magnetic Anomaly Detection Algorithm Based on Fractal Features in Geomagnetic Background[J]. Journal of Electronics & Information Technology, 2019, 41(2): 332-340. doi: 10.11999/JEIT180307
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Magnetic Anomaly Detection (MAD) is a widely used passive target detection method. Its applications include surface warship target monitoring, underwater moving targets, and land target detection and identification. It is of great significance to research on the reliability detection method of weak magnetic anomaly signals based on geomagnetic background. This paper proposes a single sensor detection method based on the fractal characteristics of target magnetic anomaly signal based on the study of the differences in geomagnetic background and fractal characteristics of magnetic anomaly signals and conducts actual field test verification. The experimental results show that the method can accurately distinguish the geomagnetic background interference and magnetic anomaly signals, and can detect the weak magnetic anomaly signals in the geomagnetic background noise.
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