UAV Path Planning Method for Passive Radar Transmitter Localization
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摘要: 在广域未知环境中，外辐射源雷达机动部署常面临难以及时获取第三方发射站精确位置信息的难题。为此，该文提出一种基于合作无人机航迹规划的发射站定位方法。首先，利用单个无人机作为合作目标，建立2维场景下的定位模型和量测方程，并采用列文伯格-马夸尔特(Levenberg-Marquardt, LM)算法进行解算。然后，构建融合Fisher信息和控制参数约束的优化函数，对无人机航迹进行动态规划，从而提高发射站定位的精度和方法的实用性。最后，仿真实验表明，在最大控制距离约束下，所提方法的定位结果优于直线航迹和经典优化航迹，最终发射站定位精度小于双基距离差量测标准差，能够满足外辐射源雷达系统目标探测定位的应用要求。Abstract: In the broad and unknown environments, mobile deployment of passive radar often faces challenges in promptly obtaining the precise location information of third-party transmitter stations. To address this issue, a transmitter localization method based on cooperative Unmanned Aerial Vehicle (UAV) path planning is proposed. Firstly, a single UAV is used as a cooperative target to establish the localization model and measurement equation in a two-dimensional scenario, and the Levenberg-Marquardt (LM) algorithm is employed for solution. Then, an optimization function is constructed by integrating Fisher information and control parameter constraints to dynamically plan the UAV trajectory, thereby improving the accuracy of transmitter localization and the practicality of this method. Finally, simulation experiments show that under the maximum control distance constraint, the positioning result of the proposed method is better than that of straight-line track and typical optimized track, and the final positioning accuracy is less than the standard deviation of the bistatic distance difference measurements, which can meet the application requirements of the passive radar system.
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Key words:
- Passive radar /
- Transmitter localization /
- Unmanned Aerial Vehicles (UAV) /
- Path planning
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表 1 图2中不同航迹的发射站定位RMSE(m)
航迹点数 10 20 30 40 50 60 本文规划航迹 576.77 172.61 85.61 35.81 27.72 26.61 FIM优化航迹 525.80 176.27 78.52 38.29 – – 直线航迹 560.43 127.12 54.31 – – – 
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