Dispersion compensation method and system for passive liquid crystal optical phased array wide spectrum imaging

By employing the method of 'dispersion calibration—multi-order scanning—sparse reconstruction—low-dimensional projection', the dispersion blurring problem of passive liquid crystal optical phased arrays in broadband imaging was solved, achieving high-resolution imaging results.

CN121806287BActive Publication Date: 2026-06-26ZHEJIANG UNIV +1
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Patent Information

Application Number
CN202610282942.6
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2026-03-10
Publication Date
2026-06-26
Estimated Expiration
2046-03-10

AI Technical Summary

Technical Problem

In broadband imaging, passive liquid crystal optical phased arrays suffer from diffraction dispersion, which causes field stretching and detail blurring, resulting in a significant decrease in edge field resolution. Existing geometrical optical correction methods are unable to effectively eliminate this problem.

Method used

An integrated approach of 'dispersion calibration—multi-order scanning—sparse reconstruction—low-dimensional projection' is adopted. By acquiring dispersion parameters, establishing a forward model, and combining sparse prior optimization, the dispersive image is reconstructed, and a clear imaging result is output.

Benefits of technology

Significantly improves imaging clarity and line-pair resolution without changing hardware, applicable to imaging in any spectral band, any scene, and any target deflection angle, effectively solving the blurring problem caused by chromatic aberration.

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Abstract

This invention discloses a dispersion compensation method and system for broadband imaging using a passive liquid crystal optical phased array. Dispersion parameters are obtained by calibrating the dispersion length and overall translation at different orders using a point source. The field of view is electrically deflected at different grating orders to acquire passive observation images. The dispersion process during diffraction is modeled, and an imaging matrix is ​​constructed based on a forward model. Compressed sensing reconstruction is solved using sparse priors as regularization terms to directly reconstruct a high-dimensional data cube of the entire field of view. After reconstruction, the entire field of view scene reconstruction result is directly projected downwards to obtain the reconstruction result of the scene during a scanning process. Field clipping is performed on the multi-order reconstruction results to obtain imaging results of different fields of view at different scanning angles. This invention significantly suppresses dispersion blurring along the deflection direction without changing the physical aperture and pixels of the passive liquid crystal optical phased array, improving the clarity and resolution of passive imaging. It is applicable to broadband passive scenes such as 380–760 nm visible / near-infrared.
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