为提高机场终端区无线电干扰源排查效率,结合当前干扰源排查方法,在阐述了测向交叉定位原理的基础上建立三维空地协同交叉定位模型,对模型的定位误差进行分析与仿真。仿真结果表明:空地协同交叉定位精度相对于传统地面双站定位精度有较高提升,在20 km 处定位误差下降17. 9??。通过分析微弱周期信号的自相关性,以绵阳南郊机场无线电干扰源排查为契机,采用空地协同无线电干扰源定位方法,利用自相关小信号侦测算法提高干扰信号的信噪比,验证了该模型对GNSS 信号干扰源定位的可行性。

In order to improve the efficiency of radio interference source troubleshooting in the terminal area of the airport, combined with the current interference source troubleshooting methods, a three-dimensional air ground collaborative cross location model is established on the basis of the direction finding cross location principle in this paper. And the positioning error of the model is analyzed and simulated. The simulation results show that the air ground collaborative cross location accuracy is higher than the traditional ground bistatic positioning accuracy, and the positioning error is decreased by 17. 9?? at 20 km. By analyzing the autocorrelation of weak periodic signals, taking the opportunity of Mianyang Nanjiao Airport radio interference source troubleshooting, the space ground cooperative radio interference source location method is adopted, and the autocorrelation small signal detection algorithm is used to improve the signal-to-noise ratio of interference signals, which verifies the feasibility of this model for GNSS signal interference source location.

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教育部产学合作协同育人项目 (220902206211249); 中国民用航空飞行学院科研基金资助项目(ZHMH2022-007);民航飞行技术与飞行安全重点实验室开放资助项目(FZ2021KFO7);民航飞行技术与飞行安全重点实验室自主研究资助项目(XYKY2023042)