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Convexification Numerical Method for Imaging of Moving Targets
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Reporter:
Jingzhi Li, Professor, Southern University of Science and Technology
Inviter:
Shipeng Mao, Professor
Subject:
Convexification Numerical Method for Imaging of Moving Targets
Time and place:
16:00-17:00 December 28(Sunday), S813
Abstract:

The problem of imaging of a moving target is formulated as a Coefficient Inverse Problem for a hyperbolic equation with its coefficient depending on all three spatial variables and time. As the initial condition, the point source running along a straight line is used. Lateral Cauchy data are known for each position of the point source. A truncated Fourier series with respect to a special orthonormal basis is used. First, Lipschitz stability estimate is obtained. Next, a globally convergent numerical method, the so-called convexification method, is developed and its convergence analysis is carried out. The convexification method is based on a Carleman estimate. Results of numerical experiments are presented.