  Micro-vibration, a ubiquitous nature phenomenon, can be seen as a
characteristic feature on the objects, these vibrations always have tiny
amplitudes which are much less than the wavelengths of the sensing systems,
thus these motions information can only be reflected in the phase item of echo.
Normally the conventional radar system can detect these micro vibrations
through the time frequency analyzing, but these vibration characteristics can
only be reflected by time-frequency spectrum, the spatial distribution of these
micro vibrations can not be reconstructed precisely. Ghost imaging (GI), a
novel imaging method also known as Coincidence Imaging that originated in the
quantum and optical fields, can reconstruct unknown images using computational
methods. To reconstruct the spatial distribution of micro vibrations, this
paper proposes a new method based on a coincidence imaging system. A detailed
model of target micro-vibration is created first, taking into account two
categories: discrete and continuous targets. We use the first-order field
correlation feature to obtain objective different micro vibration distribution
based on the complex target models and time-frequency analysis in this work.
