Airborne SAR motion compensation method, device and equipment based on inertial navigation parameters

By processing inertial navigation data and performing three-dimensional motion error compensation based on inertial navigation parameters, the imaging distortion problem of airborne SAR systems under wide mapping bands was solved, and high-quality SAR image generation was achieved.

CN117665814BActive Publication Date: 2026-06-30NAT UNIV OF DEFENSE TECH
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
NAT UNIV OF DEFENSE TECH
Filing Date
2023-12-01
Publication Date
2026-06-30

AI Technical Summary

Technical Problem

Existing technologies, when used in wide mapping zones, cannot effectively handle envelope errors, range-space-varying phase errors, and non-uniform heading sampling problems in airborne SAR systems, leading to imaging distortion.

Method used

By acquiring inertial navigation data, processing it, obtaining the actual motion trajectory in the northeast-northeast coordinate system, transforming it to the imaging coordinate system, comparing it with the ideal trajectory, calculating the three-dimensional motion error, and performing error compensation through distance resampling, phase multiplication, and azimuth resampling, and finally completing all compensation before imaging.

Benefits of technology

It achieves high-quality SAR image imaging, improves imaging focusing effect, and has high flexibility and universality, and can be combined with any imaging algorithm.

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Abstract

This application relates to an airborne SAR motion compensation method, apparatus, and device based on inertial navigation parameters. The method processes velocity data from inertial navigation data to obtain the true motion trajectory of the airborne SAR in the northeast-northeast coordinate system. After transforming this trajectory to the imaging coordinate system, the three-dimensional motion error between the true and ideal trajectories is calculated. Then, based on this three-dimensional motion error, the target echo data is sequentially compensated for range-space-varying envelope errors through range resampling, range-space-varying phase errors through phase multiplication, and non-uniform heading sampling errors through azimuth resampling to complete the motion compensation. This motion error compensation method has good compensation effect and completes all compensations before imaging, therefore it can be used in conjunction with any imaging algorithm, exhibiting high flexibility and universality.
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