Resolution Enhanced Magnetic Sensing System for Wide Coverage Real Time UXO Detection

In this paper we present a new high resolution automatic detection algorithm based upon a Wavelet transform and then validate it in marine related experiments. The proposed approach allows obtaining an automatic detection in a very low signal to noise ratios. The amount of calculations is reduced, the magnetic trend is depressed and the probability of detection/ false alarm rate can easily be controlled. Moreover, the algorithm enables to distinguish between close targets.In the algorithm we use the physical dependence of the magnetic field of a magnetic dipole in order to define a Wavelet mother function that later on can detect magnetic targets modeled as dipoles and embedded in noisy surrounding, at improved resolution. The proposed algorithm was realized on synthesized targets and then validated in field experiments involving a marine surface-floating system for wide coverage real time unexploded ordinance (UXO) detection and mapping. The detection probability achieved in the marine experiment was above 90%. The horizontal radial error of most of the detected targets was only 16 m and two baseline targets that were immersed about 20 m one to another could easily be distinguished.

► Development of new Wavelets based resolution enhanced automatic detection algorithm for low SNR.
► Distinguishing between close targets with horizontal radial error of only 16 m.
► Distinguishing between two baseline targets immersed 20 m one to another.
► Obtained probability of detection of above 90% in marine experiment.
► Reduced amount of calculations for the proposed hardware and algorithms.