Micro-Vibration Modes Reconstruction Based on Micro-Doppler Coincidence Imaging

TL;DR

This paper introduces a novel coincidence imaging method to reconstruct the spatial distribution of micro-vibrations on objects, overcoming limitations of traditional radar systems that only analyze time-frequency spectra.

Contribution

It proposes a new micro-vibration reconstruction technique based on ghost imaging and complex target modeling, enabling spatial distribution recovery.

Findings

Successfully models discrete and continuous micro-vibrations.

Utilizes first-order field correlation for distribution extraction.

Enhances micro-vibration imaging beyond conventional time-frequency analysis.

Abstract

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.