基于侦测遥控信号的无人机目标位置快速识别

Rapid recognition of drone target position based on detection and remote control signals

摘要:

无人机飞行环境中含有大量噪声及干扰信号,无法确认多个无人机目标侦测遥控信号的频段与参数,识别误差和识别速度受限,为快速获取无人机目标位置信息,提出基于侦测遥控信号的无人机目标位置快速识别方法。计算无人机远程遥控控制量,设置无人机遥控信号量化生成过程,采用加权平均法,获得初始生成的高质量的无人机遥控信号,分析无人机遥控信号的载波波形,构建无人机目标位置坐标系,权衡和融合各个无人机飞行环境特征向量的权值,计算无人机目标与地标距离之间的距离参数,求解地面遥控信号发射姿态角,应用特征匹配度检测方法,快速识别无人机目标位置。实验结果表明,综合单一目标和多目标实验场景后,识别误差分别降低了6.2m和9.3m,同时位置识别速度得到明显提升。

Abstract:

The drone flight environment contains a large amount of noise and interference signals, making it difficult to confirm the frequency band and parameters of multiple drone target detection and remote control signals, resulting in limited recognition error and speed. In order to obtain rapid drone target position information, a rapid drone target position recognition method based on detection and remote control signals is proposed. Calculate the amount of drone remote control control, set up the simulation process of drone remote control signal, use the weighted average method to obtain the initially generated high-quality drone remote control signal, analyze the carrier waveform of the drone remote control signal, construct the drone target position coordinate system, weigh and fuse the weights of various drone flight environment feature vectors, and calculate the distance parameter between the drone target and the landmark distance, Solve the attitude angle of ground remote control signal transmission, apply feature matching detection method, and quickly identify the target position of unmanned aerial vehicles. The experimental results show that after integrating single target and multi target experimental scenarios, the recognition error has been reduced by 6.2m and 9.3m, respectively, while the position recognition speed has been significantly improved.