UAV-GPR noise suppression and imaging method and device based on Hankel trajectory matrix decomposition

By employing Hankel trajectory matrix decomposition and derivative threshold reference point method, the problems of noise suppression and imaging in the UAV-GPR system were solved, achieving efficient and accurate imaging and height correction of underground targets, while reducing system load and operational complexity.

CN122085271APending Publication Date: 2026-05-26AEROSPACE INFORMATION RES INST CAS
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Patent Information

Application Number
CN202610168749.X
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-02-05
Publication Date
2026-05-26

AI Technical Summary

Technical Problem

During flight, the UAV-GPR system is affected by jitter, resulting in strong non-stationary noise that masks the effective signal and distorts the reflected waves from the ground, making it difficult to achieve high-quality radar images and accurate imaging of underground targets.

Method used

A method based on Hankel trajectory matrix decomposition is adopted. Singular value decomposition and reconstruction are performed by constructing Hankel-block-Hankel trajectory matrices. The time of arrival of surface reflection is extracted by combining the derivative threshold reference point method, and height correction is performed. Finally, a two-layer medium model is used for focused imaging.

Benefits of technology

It effectively suppresses non-stationary noise, accurately locates surface reflections, and achieves focused imaging and precise positioning of underground targets. This reduces system load and operational complexity, and improves the computational efficiency and imaging quality of the imaging algorithm.

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Abstract

The invention discloses a UAV-GPR noise suppression and imaging method and device based on Hankel trajectory matrix decomposition, and belongs to the technical field of ground penetrating radars. The method comprises the following steps: firstly, preprocessing radar echo data, constructing a Hanker-block-Hankel trajectory matrix, and realizing noise suppression through singular value decomposition and adaptive truncation and reconstruction based on local curvature measurement; and then, accurately extracting the earth surface reflection arrival time from the data after noise suppression by using a derivative threshold reference point method, and estimating and correcting the flight height change according to the earth surface reflection arrival time. Then, applying a singular value decomposition technology based on a distance threshold value, and suppressing surface reflection waves in the data after height correction; and finally, deducing a refraction point approximation-based delay summation imaging method in the double-layer medium model, and performing focusing imaging on the filtering data in combination with the average flight height. According to the invention, accurate detection and positioning of the underground target are realized.
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