Two-dimensional scanning imaging of a dual-pulse coherent system

This paper proposes the scanning imaging technology of a dual-pulse coherent system, which overcomes the drawbacks of traditional single-point detection. A simulation method for this technology has been developed, grounded in the dual-pulse coherent system detection theory and incorporating the atmospheric transmission model. The method generates dual-pulse scanning intensity images, depth images, and frequency-shift images. Simulation results demonstrate that the system has the ability to resist environmental interference. An experimental device for dual-pulse coherent system scanning imaging can be constructed to detect targets at different depths. The Hilbert transform is utilized for phase demodulation of signals. The imaging algorithm integrates surface element subdivision, cubic Bézier interpolation, and the heat map drawing principle to accurately reconstruct spatial information on a target. Images of intensity, depth, and frequency shift, plotted using various interpolation grid sizes, confirm the system’s accuracy in capturing targets at different depths and its advantages in high-resolution and high-definition imaging. Sharpened images enhance details and improve the recognition ability of the system. Experimental results of blurred images show that although these images exhibit reduced resolution, the micro-motion characteristics of the target are still preserved. The ranging accuracy of the above-mentioned system reaches millimeter level, with a phase resolution of 1.2567 × 10⁻⁷ rad. The research has laid a solid foundation for exploring new high-resolution systems of LiDAR.