天气雷达探测精度提升的有源远场标定系统与验证

    An Active Far-Field Calibration System for Enhancing Weather Radar Measurement Accuracy and Validation

    • 摘要: 传统天气雷达标定体系仅关注分立原件,对雷达系统整体特别是天线无法标定。近年来虽有无源远场标定,但易受环境影响,抗干扰能力弱且对如速度、距离等快速变化量标定误差过大。本文设计的天气雷达有源外场标定系统,利用接收并转发被标雷达发射信号,生成已知幅度、延迟、速度的模拟目标物,完成被标雷达真实探测过程的全链路标定。通过实验室和外场试验证明,该体系可通过电子方式设置模拟目标,精度和可重复性高,有效减少外场标定地物散射和速度等快速变化参数的不确定性。并且,还可以通过灵活调制转发信号的特性,对任意感兴趣参数进行全链路标定测试与试验。

       

      Abstract: Traditional weather radar calibration frameworks primarily focus on discrete components and are unable to calibrate the radar system as a whole, particularly the antenna subsystem. In recent years, passive far-field calibration methods have been proposed; however, they are highly susceptible to environmental influences, exhibit weak interference resistance, and introduce large calibration errors for rapidly varying parameters such as velocity and range. In this study, an active far-field calibration system for weather radar is developed. By receiving and retransmitting the transmitted signal of the radar under test, the system generates simulated targets with known amplitude, delay, and velocity, thereby enabling full-chain calibration under realistic radar sensing conditions. Laboratory experiments and field tests demonstrate that the proposed system can electronically configure simulated targets with high accuracy and repeatability, effectively reducing uncertainties associated with scattering effects and rapidly varying parameters (e.g., velocity) in field calibration. Moreover, by flexibly modulating the characteristics of the retransmitted signal, the system enables full-chain calibration testing and experimentation for arbitrary parameters of interest.

       

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