适用于复杂地表类型无人飞行器GNSS-R测高的基带信号处理方法

By employing adaptive signal acquisition and integration strategies, combined with multi-source data fusion and dynamic weight adjustment, the accuracy and error issues of GNSS-R altimetry in complex terrain environments were resolved, achieving high-precision and stable altimetry results.

CN120405712BActive Publication Date: 2026-07-17ROCKET FORCE UNIV OF ENG

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
ROCKET FORCE UNIV OF ENG
Filing Date
2025-05-20
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

In complex terrain environments, existing GNSS-R altimetry technology struggles to accurately capture signal delay differences, resulting in insufficient elevation measurement accuracy. Furthermore, the error sources are complex and highly coupled, lacking effective handling of dynamic errors and exhibiting insufficient algorithm generalization ability.

Method used

An adaptive signal acquisition and integration strategy is adopted, which combines the surface features of the specular reflection point, the motion state of the UAV, and the altimeter mission indicators. Through multi-source data fusion and dynamic weight adjustment, signal processing is optimized, systematic and random errors are reduced, and signal quality and altimeter accuracy are improved.

Benefits of technology

In complex terrain environments, it improves the accuracy of GNSS-R altimetry and the generalization ability of the algorithm, effectively handles multipath and dynamic errors, and ensures the accuracy and stability of high-precision observations.

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Abstract

本申请公开了一种适用于复杂地表类型无人飞行器GNSS‑R测高的基带信号处理方法,包括:根据镜面反射点所属的地表特征、无人飞行器的运动状态、测高任务指标中至少其一,自适应生成信号采集策略和信号积分策略;基于匹配到的信号采集策略,采集GNSS‑R测高直射信号和反射信号;基于匹配到的信号积分策略,对采集到的GNSS‑R测高直射信号和反射信号进行信噪比调整;计算信噪比调整后的GNSS‑R测高直射信号和反射信号的路径差,以作为初始GNSS‑R测高观测量;对初始GNSS‑R测高观测量进行系统误差和随机误差修正,得到有效GNSS‑R测高观测量。
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