Positioning and imaging methods for moving target ghost imaging LIDAR based on correlation intensity weighting

Yuliang Li; Chenglong Wang; Mingliang Chen; Shensheng Han

doi:10.1117/12.2661661

12 April 2023 Positioning and imaging methods for moving target ghost imaging LIDAR based on correlation intensity weighting

Yuliang Li, Chenglong Wang, Mingliang Chen, Shensheng Han

Author Affiliations +

Proceedings Volume 12565, Conference on Infrared, Millimeter, Terahertz Waves and Applications (IMT2022); 125650T (2023) https://doi.org/10.1117/12.2661661
Event: Conference on Infrared, Millimeter, Terahertz Waves and Applications (IMT2022), 2022, Shanghai, China

Abstract

Ghost imaging LIDAR is a new system of gaze imaging radar with high detection sensitivity, super-resolution and better anti-interference performance, but the relative motion between the radar system and the target will make the imaging degenerate. This paper proposes a single-target localization in the field of view by weighting the correlation intensity of rough target images. In a simple background environment, the absolute coordinates of the low-velocity small-size target in the field of view can be obtained. And the reference arm speckles will be compensated in the opposite direction by the translation according to the trajectory obtained by the positioning. An accurate image will be obtained by superimposing many rough images eventually. The proposed correlation intensity weighted positioning, tracking and imaging method has been verified by simulation to be able to locate and image targets in the field of view well.

Citation Download Citation

Yuliang Li, Chenglong Wang, Mingliang Chen, and Shensheng Han "Positioning and imaging methods for moving target ghost imaging LIDAR based on correlation intensity weighting", Proc. SPIE 12565, Conference on Infrared, Millimeter, Terahertz Waves and Applications (IMT2022), 125650T (12 April 2023); https://doi.org/10.1117/12.2661661

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KEYWORDS

Target detection

LIDAR

Speckle

Imaging systems

Reconstruction algorithms

Radar imaging

Sensors

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