Abstract
Differential evolution (DE) algorithm, which is a global convergence algorithm, is often used to estimate the position of underground targets detected with a portable transient electromagnetic (TEM) system. The DE algorithm is extremely time-consuming due to thousands of iterations. A new algorithm for fast localization of an underground target by magnetic gradient tensor and Gaussian-Newton algorithm with a portable TEM system is proposed. First, the gradient tensor of an underground target is constructed with the differential responses received by the portable sensor. Gradient tensor, commonly used in magnetic detection, is applied for the first time in TEM detection to estimate the target position for each measurement. Then, all the estimated positions are averaged to reduce the localization error. Taking the averaged position as the initial value, the Gaussian-Newton algorithm can complete iterations within dozens of times, which can effectively improve the speed and accuracy of the algorithm. Finally, the performance of the new method has been verified in the test-stand and field experiments. Results show that the errors of averaged positions by gradient tensor are no more than 8 cm in the horizontal direction. The errors of the estimated positions, inclination, and rotation angles by the Gaussian-Newton algorithm are no more than 4 cm, 6°, and 5°, respectively. The statistical running time of the proposed method takes approximately tens of milliseconds, accounting for about 7% of the DE algorithm. The proposed method can achieve fast and accurate localization and characterization of targets and has an important significance to the digging and recognition of underground targets.
Highlights
Unexploded ordnance (UXO) contamination has caused great suffering to people all over the world and hindered land use and construction [1,2]
Large amounts of metallic debris are scattered around the UXOs, which will cause some interference to the detection of UXOs
Kinds of advanced Transient electromagnetic (TEM) systems that combine a high spatial diversity, a wide dynamic range, and different viewpoints, like Oak Ridge Airborne Geophysical System-Transient EM [15], Metal Mapper [16], Time-domain Electromagnetic Multi-sensor Tower Array Detection System [17], Berkeley UXO discriminator [18], Man-portable vector sensor [19,20], and portable TEM system designed by our lab [21], have been developed to provide measurements, and fully reflect the vector characteristics of the electromagnetic field [22]
Summary
Unexploded ordnance (UXO) contamination has caused great suffering to people all over the world and hindered land use and construction [1,2]. Kinds of advanced TEM systems that combine a high spatial diversity, a wide dynamic range, and different viewpoints, like Oak Ridge Airborne Geophysical System-Transient EM [15], Metal Mapper [16], Time-domain Electromagnetic Multi-sensor Tower Array Detection System [17], Berkeley UXO discriminator [18], Man-portable vector sensor [19,20], and portable TEM system designed by our lab [21], have been developed to provide measurements, and fully reflect the vector characteristics of the electromagnetic field [22]. A fast localization method of underground targets combining magnetic gradient tensor and GaussNewton algorithm is proposed. Magnetic gradient tensor is applied for the first time in TEM detection to locate the target.
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