Abstract
We propose the Genetic Algorithm (GA) approach for localization of an underwater magnetic dipole target by an airborne magnetometer. Airborne Magnetic Anomaly Detection (MAD) is used for decades to detect underwater targets, such as sunken ships. The target is assumed as a magnetic dipole, which produces an anomaly in the dominant Earth magnetic field. The aircraft follows a path, sampling the magnetic field and utilizing GA to estimate target location and magnetic moment. The method was simulated on a personal computer, obtaining promising results in the presence of noise. A scatter radius of about 60 m is achieved for SNR value of 0.2, which is acceptable for practical needs.
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