Multi-mode Coherent Detection Ghost Imaging Lidar and Vibration-Mode Imaging
Jinquan Qi, Shuang Liu, Chenjin Deng, Chaoran Wang, Zunwang Bo, Youzhen Gui, Shensheng Han
TL;DR
This work addresses phase-resolved lidar imaging in environments with multi-mode reflections by marrying ghost imaging with coherent detection in a bucket-detector CD-GI lidar. By coherently mixing reflected multi-mode fields with a single-mode LO at a bucket detector and exploiting field correlation, it decouples multi-mode contributions and enables reconstruction of both amplitude and phase, as well as spatial distributions of target vibration modes. The authors develop a theoretical framework and validate it experimentally, showing static target imaging, IF-energy behavior consistent with detector-area dependencies, and the ability to reconstruct micro-Doppler vibration modes and three-dimensional target information. The approach reduces the spatiotemporal bandwidth requirements compared with coherent focal-plane arrays and holds promise for applications in autonomous sensing, non-contact structural health monitoring, and precise vibration measurements, thanks to complex-reflectivity imaging and dynamic-mode localization achieved with a single detector.
Abstract
Coherent detection ghost imaging lidar (CD-GI lidar) integrates ghost imaging with coherent detection, thereby achieving enhanced anti-interference and phase-resolved imaging capability. Here, we propose a bucket-detector-based multi-mode coherent detection scheme for CD-GI lidar, where the reflected multi-mode light fields are coherently mixed with a single-mode local oscillator (LO) at the bucket detector photosensitive plane. The bucket-detector-based multi-mode CD-GI lidar system breaks the constraints of Siegman antenna theorem by utilizing field correlation to decouple the reflected multi-mode light fields and reconstructs the spatial distribution of targets' vibration modes. Theoretical analysis of the bucket-detector-based multi-mode CD-GI lidar system is presented in this work, and its feasibility is verified through a series of experiments.
