Design of Subsurface Airborne Magnetic Anomaly Detection(MAD) based on Empirical Mode Decomposition(EMD)

The exploration of the ocean environment, from distant times has been considered by explorers and beneficiaries in various fields ranging from scientific and cultural to industrial or military incentives. In existing methods for air detection purposes, basic objects such as submarines, UXO, sea mines, submerged ships, underwater pipelines, etc. In the deep seas and oceans, it is necessary for a transmitter and receiver to be placed at sea level to communicate between the aircraft and the underwater environment. But using the magnetic anomaly detection method, this transmitter and receiver not required to interface between sea level and subsurface because magnetic field force lines can cross this boundary unchanged. Accordingly, the technique of using magnetic waves to detect sub surfaces has been proposed under the title of Magnetic Anomaly Detector (MAD) systems, which is based on measuring the smallest changes or disturbances in the Earth's magnetic field due to the passage of a ferrous magnetic object and the magnetic bipolar field generated around it, and especially in shallow waters, is one of the most efficient methods. In this paper, Empirical Mode Decomposition algorithm has been suggested to detect magnetic anomalies. The basis of EMD is the spatial or temporal refinement of the signal according to the characteristics of extreme points. Decomposition components include high to low frequency bands respectively. For this purpose, since the magnetic anomaly has both high and low frequency, this new method is an efficient way to separate these two frequency spectrums. This method has more accuracy and less calculations and complexity than usual and common methods such as Fourier transform or polynomial fitting.