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arXiv · 2512.18361

Convexification Numerical Method for Imaging of Moving Targets

Michael V. Klibanov·Jingzhi Li·Vladimir G. Romanov·Zhipeng Yang
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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.

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Michael V. Klibanov, Jingzhi Li, Vladimir G. Romanov, Zhipeng Yang. 2025-12-20. Convexification Numerical Method for Imaging of Moving Targets. https://arxiv.org/abs/2512.18361

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